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Model: neuralmagic/Llama-2-7b-ultrachat200k Source: Original Platform
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README.md
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README.md
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---
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base_model: meta-llama/Llama-2-7b-hf
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inference: true
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model_type: llama
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pipeline_tag: text-generation
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datasets:
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- HuggingFaceH4/ultrachat_200k
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tags:
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- chat
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---
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# Llama-2-7b-ultrachat
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This repo contains a [Llama 2 7B](https://huggingface.co/meta-llama/Llama-2-7b-hf) finetuned for chat tasks using the [UltraChat 200k](https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k) dataset.
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Official model weights from [Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment](https://arxiv.org/abs/2405.03594).
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**Authors**: Neural Magic, Cerebras
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## Usage
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Below we share some code snippets on how to get quickly started with running the model.
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### Sparse Transfer
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By leveraging a pre-sparsified model's structure, you can efficiently fine-tune on new data, leading to reduced hyperparameter tuning, training times, and computational costs. Learn about this process [here](https://neuralmagic.github.io/docs-v2/get-started/transfer).
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### Running the model
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This model may be run with the transformers library. For accelerated inference with sparsity, deploy with [nm-vllm](https://github.com/neuralmagic/nm-vllm) or [deepsparse](https://github.com/neuralmagic/deepsparse).
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```python
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# pip install transformers accelerate
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("neuralmagic/Llama-2-7b-ultrachat")
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model = AutoModelForCausalLM.from_pretrained("neuralmagic/Llama-2-7b-ultrachat", device_map="auto")
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input_text = "Write me a poem about Machine Learning."
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input_ids = tokenizer.apply_chat_template(input_text, add_generation_prompt=True, return_tensors="pt").to("cuda")
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outputs = model.generate(**input_ids)
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print(tokenizer.decode(outputs[0]))
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```
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## Evaluation Benchmark Results
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Model evaluation metrics and results.
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| Benchmark | Metric | Llama-2-7b-ultrachat | Llama-2-7b-pruned50-retrained-ultrachat |
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|------------------------------------------------|---------------|-------------|-------------------------------|
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| [MMLU](https://arxiv.org/abs/2009.03300) | 5-shot, top-1 | xxxx | xxxx |
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| [HellaSwag](https://arxiv.org/abs/1905.07830) | 0-shot | xxxx | xxxx |
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| [WinoGrande](https://arxiv.org/abs/1907.10641) | partial score | xxxx | xxxx |
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| [ARC-c](https://arxiv.org/abs/1911.01547) | | xxxx | xxxx |
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| [TruthfulQA](https://arxiv.org/abs/2109.07958) | 5-shot | xxxx | xxxx |
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| [HumanEval](https://arxiv.org/abs/2107.03374) | pass@1 | xxxx | xxxx |
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| [GSM8K](https://arxiv.org/abs/2110.14168) | maj@1 | xxxx | xxxx |
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## Model Training Details
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Coming soon.
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## Help
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For further support, and discussions on these models and AI in general, join [Neural Magic's Slack Community](https://join.slack.com/t/discuss-neuralmagic/shared_invite/zt-q1a1cnvo-YBoICSIw3L1dmQpjBeDurQ)
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arc_challenge_25shot_bs16_fp32.json
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arc_challenge_25shot_bs16_fp32.json
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{
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"results": {
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"arc_challenge": {
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"acc": 0.4974402730375427,
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"acc_stderr": 0.014611199329843791,
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"acc_norm": 0.5281569965870307,
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"acc_norm_stderr": 0.014588204105102203
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}
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},
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"versions": {
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"arc_challenge": 0
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},
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"config": {
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"model": "sparseml",
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"model_args": "pretrained=/nm/drive1/alexandre/zoo/llama2-7b-ultrachat200k_llama2_pretrain-base/training,dtype=float32",
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"num_fewshot": 25,
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"batch_size": "16",
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"batch_sizes": [],
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"device": "cuda:1",
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"no_cache": true,
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"limit": null,
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"bootstrap_iters": 100000,
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"description_dict": {}
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}
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}
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config.json
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{
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"_name_or_path": "neuralmagic/Llama-2-7b-ultrachat",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 32,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.40.0",
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"use_cache": true,
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"vocab_size": 32000
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}
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configuration.json
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.40.0"
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}
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gsm8k_5shot.json
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gsm8k_5shot.json
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{
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"results": {
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"gsm8k": {
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"acc": 0.1243366186504928,
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"acc_stderr": 0.00908888096202845
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}
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},
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"versions": {
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"gsm8k": 0
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},
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"config": {
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"model": "hf-causal-experimental",
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"model_args": {
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"pretrained": "/network/alexandre/research/llama2_7b_ultrachat/dense/dense_finetuning/dense_LR1e-4_E1/training",
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"trust_remote_code": true
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},
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"num_fewshot": 5,
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"batch_size": "8",
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"batch_sizes": [],
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"device": "cuda:3",
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"no_cache": true,
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"limit": null,
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"bootstrap_iters": 100000,
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"description_dict": {}
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}
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}
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gsm8k_5shot_bs8_bf32.json
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gsm8k_5shot_bs8_bf32.json
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{
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"results": {
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"gsm8k": {
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"acc": 0.1243366186504928,
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"acc_stderr": 0.00908888096202845
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}
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},
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"versions": {
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"gsm8k": 0
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},
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"config": {
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"model": "hf-causal-experimental",
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"model_args": {
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"pretrained": "/nm/drive1/alexandre/zoo/llama2-7b-ultrachat200k_llama2_pretrain-base/training",
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"dtype": "float32"
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},
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"num_fewshot": 5,
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"batch_size": "8",
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"batch_sizes": [],
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"device": "cuda:7",
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"no_cache": true,
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"limit": null,
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"bootstrap_iters": 100000,
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"description_dict": {}
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}
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}
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gsm8k_5shot_bs8_fp32.json
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{
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"results": {
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"gsm8k": {
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"acc": 0.1243366186504928,
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"acc_stderr": 0.00908888096202845
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}
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},
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"versions": {
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"gsm8k": 0
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},
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"config": {
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"model": "hf-causal-experimental",
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"model_args": {
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"pretrained": "/nm/drive1/alexandre/zoo/llama2-7b-ultrachat200k_llama2_pretrain-base/training",
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"dtype": "float32"
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},
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"num_fewshot": 5,
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"batch_size": "8",
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"batch_sizes": [],
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"device": "cuda:7",
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"no_cache": true,
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"limit": null,
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"bootstrap_iters": 100000,
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"description_dict": {}
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}
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}
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hellaswag_10shot_bs16_fp32.json
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hellaswag_10shot_bs16_fp32.json
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{
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"results": {
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"hellaswag": {
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"acc": 0.5690101573391755,
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"acc_stderr": 0.004942026200279588,
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"acc_norm": 0.7590121489743079,
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"acc_norm_stderr": 0.004268088879039827
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}
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},
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"versions": {
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"hellaswag": 0
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},
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"config": {
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"model": "sparseml",
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"model_args": "pretrained=/nm/drive1/alexandre/zoo/llama2-7b-ultrachat200k_llama2_pretrain-base/training,dtype=float32",
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"num_fewshot": 10,
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"batch_size": "16",
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"batch_sizes": [],
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"device": "cuda:4",
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"no_cache": true,
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"limit": null,
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"bootstrap_iters": 100000,
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"description_dict": {}
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}
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}
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mmlu_5shot.json
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{
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"results": {
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"hendrycksTest-abstract_algebra": {
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"acc": 0.31,
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"acc_stderr": 0.04648231987117316,
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"acc_norm": 0.31,
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"acc_norm_stderr": 0.04648231987117316
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},
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"hendrycksTest-anatomy": {
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"acc": 0.43703703703703706,
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"acc_stderr": 0.04284958639753399,
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"acc_norm": 0.43703703703703706,
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"acc_norm_stderr": 0.04284958639753399
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},
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"hendrycksTest-astronomy": {
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"acc": 0.40789473684210525,
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"acc_stderr": 0.03999309712777471,
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"acc_norm": 0.40789473684210525,
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"acc_norm_stderr": 0.03999309712777471
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},
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"hendrycksTest-business_ethics": {
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"acc": 0.46,
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"acc_stderr": 0.05009082659620332,
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"acc_norm": 0.46,
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"acc_norm_stderr": 0.05009082659620332
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},
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"hendrycksTest-clinical_knowledge": {
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"acc": 0.4830188679245283,
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"acc_stderr": 0.030755120364119905,
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"acc_norm": 0.4830188679245283,
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"acc_norm_stderr": 0.030755120364119905
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},
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"hendrycksTest-college_biology": {
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"acc": 0.4652777777777778,
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"acc_stderr": 0.04171115858181618,
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"acc_norm": 0.4652777777777778,
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"acc_norm_stderr": 0.04171115858181618
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},
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"hendrycksTest-college_chemistry": {
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"acc": 0.27,
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"acc_stderr": 0.044619604333847394,
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"acc_norm": 0.27,
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"acc_norm_stderr": 0.044619604333847394
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},
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"hendrycksTest-college_computer_science": {
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"acc": 0.39,
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"acc_stderr": 0.04902071300001975,
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"acc_norm": 0.39,
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"acc_norm_stderr": 0.04902071300001975
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},
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"hendrycksTest-college_mathematics": {
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"acc": 0.29,
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||||||
|
"acc_stderr": 0.045604802157206845,
|
||||||
|
"acc_norm": 0.29,
|
||||||
|
"acc_norm_stderr": 0.045604802157206845
|
||||||
|
},
|
||||||
|
"hendrycksTest-college_medicine": {
|
||||||
|
"acc": 0.36416184971098264,
|
||||||
|
"acc_stderr": 0.03669072477416907,
|
||||||
|
"acc_norm": 0.36416184971098264,
|
||||||
|
"acc_norm_stderr": 0.03669072477416907
|
||||||
|
},
|
||||||
|
"hendrycksTest-college_physics": {
|
||||||
|
"acc": 0.2549019607843137,
|
||||||
|
"acc_stderr": 0.043364327079931785,
|
||||||
|
"acc_norm": 0.2549019607843137,
|
||||||
|
"acc_norm_stderr": 0.043364327079931785
|
||||||
|
},
|
||||||
|
"hendrycksTest-computer_security": {
|
||||||
|
"acc": 0.55,
|
||||||
|
"acc_stderr": 0.05,
|
||||||
|
"acc_norm": 0.55,
|
||||||
|
"acc_norm_stderr": 0.05
|
||||||
|
},
|
||||||
|
"hendrycksTest-conceptual_physics": {
|
||||||
|
"acc": 0.4085106382978723,
|
||||||
|
"acc_stderr": 0.03213418026701576,
|
||||||
|
"acc_norm": 0.4085106382978723,
|
||||||
|
"acc_norm_stderr": 0.03213418026701576
|
||||||
|
},
|
||||||
|
"hendrycksTest-econometrics": {
|
||||||
|
"acc": 0.2894736842105263,
|
||||||
|
"acc_stderr": 0.04266339443159394,
|
||||||
|
"acc_norm": 0.2894736842105263,
|
||||||
|
"acc_norm_stderr": 0.04266339443159394
|
||||||
|
},
|
||||||
|
"hendrycksTest-electrical_engineering": {
|
||||||
|
"acc": 0.4206896551724138,
|
||||||
|
"acc_stderr": 0.0411391498118926,
|
||||||
|
"acc_norm": 0.4206896551724138,
|
||||||
|
"acc_norm_stderr": 0.0411391498118926
|
||||||
|
},
|
||||||
|
"hendrycksTest-elementary_mathematics": {
|
||||||
|
"acc": 0.291005291005291,
|
||||||
|
"acc_stderr": 0.02339382650048487,
|
||||||
|
"acc_norm": 0.291005291005291,
|
||||||
|
"acc_norm_stderr": 0.02339382650048487
|
||||||
|
},
|
||||||
|
"hendrycksTest-formal_logic": {
|
||||||
|
"acc": 0.23015873015873015,
|
||||||
|
"acc_stderr": 0.037649508797906045,
|
||||||
|
"acc_norm": 0.23015873015873015,
|
||||||
|
"acc_norm_stderr": 0.037649508797906045
|
||||||
|
},
|
||||||
|
"hendrycksTest-global_facts": {
|
||||||
|
"acc": 0.34,
|
||||||
|
"acc_stderr": 0.04760952285695236,
|
||||||
|
"acc_norm": 0.34,
|
||||||
|
"acc_norm_stderr": 0.04760952285695236
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_biology": {
|
||||||
|
"acc": 0.4870967741935484,
|
||||||
|
"acc_stderr": 0.028434533152681855,
|
||||||
|
"acc_norm": 0.4870967741935484,
|
||||||
|
"acc_norm_stderr": 0.028434533152681855
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_chemistry": {
|
||||||
|
"acc": 0.33497536945812806,
|
||||||
|
"acc_stderr": 0.033208527423483104,
|
||||||
|
"acc_norm": 0.33497536945812806,
|
||||||
|
"acc_norm_stderr": 0.033208527423483104
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_computer_science": {
|
||||||
|
"acc": 0.44,
|
||||||
|
"acc_stderr": 0.04988876515698589,
|
||||||
|
"acc_norm": 0.44,
|
||||||
|
"acc_norm_stderr": 0.04988876515698589
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_european_history": {
|
||||||
|
"acc": 0.6363636363636364,
|
||||||
|
"acc_stderr": 0.03756335775187897,
|
||||||
|
"acc_norm": 0.6363636363636364,
|
||||||
|
"acc_norm_stderr": 0.03756335775187897
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_geography": {
|
||||||
|
"acc": 0.5202020202020202,
|
||||||
|
"acc_stderr": 0.03559443565563918,
|
||||||
|
"acc_norm": 0.5202020202020202,
|
||||||
|
"acc_norm_stderr": 0.03559443565563918
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_government_and_politics": {
|
||||||
|
"acc": 0.6424870466321243,
|
||||||
|
"acc_stderr": 0.034588160421810114,
|
||||||
|
"acc_norm": 0.6424870466321243,
|
||||||
|
"acc_norm_stderr": 0.034588160421810114
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_macroeconomics": {
|
||||||
|
"acc": 0.4025641025641026,
|
||||||
|
"acc_stderr": 0.02486499515976775,
|
||||||
|
"acc_norm": 0.4025641025641026,
|
||||||
|
"acc_norm_stderr": 0.02486499515976775
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_mathematics": {
|
||||||
|
"acc": 0.25925925925925924,
|
||||||
|
"acc_stderr": 0.026719240783712177,
|
||||||
|
"acc_norm": 0.25925925925925924,
|
||||||
|
"acc_norm_stderr": 0.026719240783712177
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_microeconomics": {
|
||||||
|
"acc": 0.4411764705882353,
|
||||||
|
"acc_stderr": 0.0322529423239964,
|
||||||
|
"acc_norm": 0.4411764705882353,
|
||||||
|
"acc_norm_stderr": 0.0322529423239964
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_physics": {
|
||||||
|
"acc": 0.23841059602649006,
|
||||||
|
"acc_stderr": 0.03479185572599661,
|
||||||
|
"acc_norm": 0.23841059602649006,
|
||||||
|
"acc_norm_stderr": 0.03479185572599661
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_psychology": {
|
||||||
|
"acc": 0.6165137614678899,
|
||||||
|
"acc_stderr": 0.020847156641915984,
|
||||||
|
"acc_norm": 0.6165137614678899,
|
||||||
|
"acc_norm_stderr": 0.020847156641915984
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_statistics": {
|
||||||
|
"acc": 0.27314814814814814,
|
||||||
|
"acc_stderr": 0.03038805130167812,
|
||||||
|
"acc_norm": 0.27314814814814814,
|
||||||
|
"acc_norm_stderr": 0.03038805130167812
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_us_history": {
|
||||||
|
"acc": 0.6470588235294118,
|
||||||
|
"acc_stderr": 0.03354092437591518,
|
||||||
|
"acc_norm": 0.6470588235294118,
|
||||||
|
"acc_norm_stderr": 0.03354092437591518
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_world_history": {
|
||||||
|
"acc": 0.6455696202531646,
|
||||||
|
"acc_stderr": 0.031137304297185805,
|
||||||
|
"acc_norm": 0.6455696202531646,
|
||||||
|
"acc_norm_stderr": 0.031137304297185805
|
||||||
|
},
|
||||||
|
"hendrycksTest-human_aging": {
|
||||||
|
"acc": 0.547085201793722,
|
||||||
|
"acc_stderr": 0.03340867501923324,
|
||||||
|
"acc_norm": 0.547085201793722,
|
||||||
|
"acc_norm_stderr": 0.03340867501923324
|
||||||
|
},
|
||||||
|
"hendrycksTest-human_sexuality": {
|
||||||
|
"acc": 0.549618320610687,
|
||||||
|
"acc_stderr": 0.04363643698524779,
|
||||||
|
"acc_norm": 0.549618320610687,
|
||||||
|
"acc_norm_stderr": 0.04363643698524779
|
||||||
|
},
|
||||||
|
"hendrycksTest-international_law": {
|
||||||
|
"acc": 0.628099173553719,
|
||||||
|
"acc_stderr": 0.04412015806624504,
|
||||||
|
"acc_norm": 0.628099173553719,
|
||||||
|
"acc_norm_stderr": 0.04412015806624504
|
||||||
|
},
|
||||||
|
"hendrycksTest-jurisprudence": {
|
||||||
|
"acc": 0.49074074074074076,
|
||||||
|
"acc_stderr": 0.04832853553437055,
|
||||||
|
"acc_norm": 0.49074074074074076,
|
||||||
|
"acc_norm_stderr": 0.04832853553437055
|
||||||
|
},
|
||||||
|
"hendrycksTest-logical_fallacies": {
|
||||||
|
"acc": 0.49079754601226994,
|
||||||
|
"acc_stderr": 0.03927705600787443,
|
||||||
|
"acc_norm": 0.49079754601226994,
|
||||||
|
"acc_norm_stderr": 0.03927705600787443
|
||||||
|
},
|
||||||
|
"hendrycksTest-machine_learning": {
|
||||||
|
"acc": 0.42857142857142855,
|
||||||
|
"acc_stderr": 0.04697113923010212,
|
||||||
|
"acc_norm": 0.42857142857142855,
|
||||||
|
"acc_norm_stderr": 0.04697113923010212
|
||||||
|
},
|
||||||
|
"hendrycksTest-management": {
|
||||||
|
"acc": 0.5339805825242718,
|
||||||
|
"acc_stderr": 0.0493929144727348,
|
||||||
|
"acc_norm": 0.5339805825242718,
|
||||||
|
"acc_norm_stderr": 0.0493929144727348
|
||||||
|
},
|
||||||
|
"hendrycksTest-marketing": {
|
||||||
|
"acc": 0.7136752136752137,
|
||||||
|
"acc_stderr": 0.02961432369045665,
|
||||||
|
"acc_norm": 0.7136752136752137,
|
||||||
|
"acc_norm_stderr": 0.02961432369045665
|
||||||
|
},
|
||||||
|
"hendrycksTest-medical_genetics": {
|
||||||
|
"acc": 0.55,
|
||||||
|
"acc_stderr": 0.04999999999999999,
|
||||||
|
"acc_norm": 0.55,
|
||||||
|
"acc_norm_stderr": 0.04999999999999999
|
||||||
|
},
|
||||||
|
"hendrycksTest-miscellaneous": {
|
||||||
|
"acc": 0.6219667943805874,
|
||||||
|
"acc_stderr": 0.017339844462104594,
|
||||||
|
"acc_norm": 0.6219667943805874,
|
||||||
|
"acc_norm_stderr": 0.017339844462104594
|
||||||
|
},
|
||||||
|
"hendrycksTest-moral_disputes": {
|
||||||
|
"acc": 0.5317919075144508,
|
||||||
|
"acc_stderr": 0.02686462436675664,
|
||||||
|
"acc_norm": 0.5317919075144508,
|
||||||
|
"acc_norm_stderr": 0.02686462436675664
|
||||||
|
},
|
||||||
|
"hendrycksTest-moral_scenarios": {
|
||||||
|
"acc": 0.2424581005586592,
|
||||||
|
"acc_stderr": 0.014333522059217892,
|
||||||
|
"acc_norm": 0.2424581005586592,
|
||||||
|
"acc_norm_stderr": 0.014333522059217892
|
||||||
|
},
|
||||||
|
"hendrycksTest-nutrition": {
|
||||||
|
"acc": 0.477124183006536,
|
||||||
|
"acc_stderr": 0.028599936776089782,
|
||||||
|
"acc_norm": 0.477124183006536,
|
||||||
|
"acc_norm_stderr": 0.028599936776089782
|
||||||
|
},
|
||||||
|
"hendrycksTest-philosophy": {
|
||||||
|
"acc": 0.5530546623794212,
|
||||||
|
"acc_stderr": 0.028237769422085328,
|
||||||
|
"acc_norm": 0.5530546623794212,
|
||||||
|
"acc_norm_stderr": 0.028237769422085328
|
||||||
|
},
|
||||||
|
"hendrycksTest-prehistory": {
|
||||||
|
"acc": 0.5308641975308642,
|
||||||
|
"acc_stderr": 0.027767689606833925,
|
||||||
|
"acc_norm": 0.5308641975308642,
|
||||||
|
"acc_norm_stderr": 0.027767689606833925
|
||||||
|
},
|
||||||
|
"hendrycksTest-professional_accounting": {
|
||||||
|
"acc": 0.375886524822695,
|
||||||
|
"acc_stderr": 0.028893955412115882,
|
||||||
|
"acc_norm": 0.375886524822695,
|
||||||
|
"acc_norm_stderr": 0.028893955412115882
|
||||||
|
},
|
||||||
|
"hendrycksTest-professional_law": {
|
||||||
|
"acc": 0.35723598435462844,
|
||||||
|
"acc_stderr": 0.012238615750316505,
|
||||||
|
"acc_norm": 0.35723598435462844,
|
||||||
|
"acc_norm_stderr": 0.012238615750316505
|
||||||
|
},
|
||||||
|
"hendrycksTest-professional_medicine": {
|
||||||
|
"acc": 0.4227941176470588,
|
||||||
|
"acc_stderr": 0.03000856284500349,
|
||||||
|
"acc_norm": 0.4227941176470588,
|
||||||
|
"acc_norm_stderr": 0.03000856284500349
|
||||||
|
},
|
||||||
|
"hendrycksTest-professional_psychology": {
|
||||||
|
"acc": 0.4591503267973856,
|
||||||
|
"acc_stderr": 0.020160213617222516,
|
||||||
|
"acc_norm": 0.4591503267973856,
|
||||||
|
"acc_norm_stderr": 0.020160213617222516
|
||||||
|
},
|
||||||
|
"hendrycksTest-public_relations": {
|
||||||
|
"acc": 0.5454545454545454,
|
||||||
|
"acc_stderr": 0.04769300568972744,
|
||||||
|
"acc_norm": 0.5454545454545454,
|
||||||
|
"acc_norm_stderr": 0.04769300568972744
|
||||||
|
},
|
||||||
|
"hendrycksTest-security_studies": {
|
||||||
|
"acc": 0.49795918367346936,
|
||||||
|
"acc_stderr": 0.0320089533497105,
|
||||||
|
"acc_norm": 0.49795918367346936,
|
||||||
|
"acc_norm_stderr": 0.0320089533497105
|
||||||
|
},
|
||||||
|
"hendrycksTest-sociology": {
|
||||||
|
"acc": 0.6318407960199005,
|
||||||
|
"acc_stderr": 0.03410410565495301,
|
||||||
|
"acc_norm": 0.6318407960199005,
|
||||||
|
"acc_norm_stderr": 0.03410410565495301
|
||||||
|
},
|
||||||
|
"hendrycksTest-us_foreign_policy": {
|
||||||
|
"acc": 0.67,
|
||||||
|
"acc_stderr": 0.04725815626252609,
|
||||||
|
"acc_norm": 0.67,
|
||||||
|
"acc_norm_stderr": 0.04725815626252609
|
||||||
|
},
|
||||||
|
"hendrycksTest-virology": {
|
||||||
|
"acc": 0.41566265060240964,
|
||||||
|
"acc_stderr": 0.03836722176598053,
|
||||||
|
"acc_norm": 0.41566265060240964,
|
||||||
|
"acc_norm_stderr": 0.03836722176598053
|
||||||
|
},
|
||||||
|
"hendrycksTest-world_religions": {
|
||||||
|
"acc": 0.6549707602339181,
|
||||||
|
"acc_stderr": 0.036459813773888065,
|
||||||
|
"acc_norm": 0.6549707602339181,
|
||||||
|
"acc_norm_stderr": 0.036459813773888065
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"versions": {
|
||||||
|
"hendrycksTest-abstract_algebra": 1,
|
||||||
|
"hendrycksTest-anatomy": 1,
|
||||||
|
"hendrycksTest-astronomy": 1,
|
||||||
|
"hendrycksTest-business_ethics": 1,
|
||||||
|
"hendrycksTest-clinical_knowledge": 1,
|
||||||
|
"hendrycksTest-college_biology": 1,
|
||||||
|
"hendrycksTest-college_chemistry": 1,
|
||||||
|
"hendrycksTest-college_computer_science": 1,
|
||||||
|
"hendrycksTest-college_mathematics": 1,
|
||||||
|
"hendrycksTest-college_medicine": 1,
|
||||||
|
"hendrycksTest-college_physics": 1,
|
||||||
|
"hendrycksTest-computer_security": 1,
|
||||||
|
"hendrycksTest-conceptual_physics": 1,
|
||||||
|
"hendrycksTest-econometrics": 1,
|
||||||
|
"hendrycksTest-electrical_engineering": 1,
|
||||||
|
"hendrycksTest-elementary_mathematics": 1,
|
||||||
|
"hendrycksTest-formal_logic": 1,
|
||||||
|
"hendrycksTest-global_facts": 1,
|
||||||
|
"hendrycksTest-high_school_biology": 1,
|
||||||
|
"hendrycksTest-high_school_chemistry": 1,
|
||||||
|
"hendrycksTest-high_school_computer_science": 1,
|
||||||
|
"hendrycksTest-high_school_european_history": 1,
|
||||||
|
"hendrycksTest-high_school_geography": 1,
|
||||||
|
"hendrycksTest-high_school_government_and_politics": 1,
|
||||||
|
"hendrycksTest-high_school_macroeconomics": 1,
|
||||||
|
"hendrycksTest-high_school_mathematics": 1,
|
||||||
|
"hendrycksTest-high_school_microeconomics": 1,
|
||||||
|
"hendrycksTest-high_school_physics": 1,
|
||||||
|
"hendrycksTest-high_school_psychology": 1,
|
||||||
|
"hendrycksTest-high_school_statistics": 1,
|
||||||
|
"hendrycksTest-high_school_us_history": 1,
|
||||||
|
"hendrycksTest-high_school_world_history": 1,
|
||||||
|
"hendrycksTest-human_aging": 1,
|
||||||
|
"hendrycksTest-human_sexuality": 1,
|
||||||
|
"hendrycksTest-international_law": 1,
|
||||||
|
"hendrycksTest-jurisprudence": 1,
|
||||||
|
"hendrycksTest-logical_fallacies": 1,
|
||||||
|
"hendrycksTest-machine_learning": 1,
|
||||||
|
"hendrycksTest-management": 1,
|
||||||
|
"hendrycksTest-marketing": 1,
|
||||||
|
"hendrycksTest-medical_genetics": 1,
|
||||||
|
"hendrycksTest-miscellaneous": 1,
|
||||||
|
"hendrycksTest-moral_disputes": 1,
|
||||||
|
"hendrycksTest-moral_scenarios": 1,
|
||||||
|
"hendrycksTest-nutrition": 1,
|
||||||
|
"hendrycksTest-philosophy": 1,
|
||||||
|
"hendrycksTest-prehistory": 1,
|
||||||
|
"hendrycksTest-professional_accounting": 1,
|
||||||
|
"hendrycksTest-professional_law": 1,
|
||||||
|
"hendrycksTest-professional_medicine": 1,
|
||||||
|
"hendrycksTest-professional_psychology": 1,
|
||||||
|
"hendrycksTest-public_relations": 1,
|
||||||
|
"hendrycksTest-security_studies": 1,
|
||||||
|
"hendrycksTest-sociology": 1,
|
||||||
|
"hendrycksTest-us_foreign_policy": 1,
|
||||||
|
"hendrycksTest-virology": 1,
|
||||||
|
"hendrycksTest-world_religions": 1
|
||||||
|
},
|
||||||
|
"config": {
|
||||||
|
"model": "hf-causal-experimental",
|
||||||
|
"model_args": {
|
||||||
|
"pretrained": "/network/alexandre/research/llama2_7b_ultrachat/dense/dense_finetuning/dense_LR1e-4_E1/training",
|
||||||
|
"trust_remote_code": true
|
||||||
|
},
|
||||||
|
"num_fewshot": 5,
|
||||||
|
"batch_size": "4",
|
||||||
|
"batch_sizes": [],
|
||||||
|
"device": "cuda:5",
|
||||||
|
"no_cache": true,
|
||||||
|
"limit": null,
|
||||||
|
"bootstrap_iters": 100000,
|
||||||
|
"description_dict": {}
|
||||||
|
}
|
||||||
|
}
|
||||||
417
mmlu_5shot_bs4_fp32.json
Normal file
417
mmlu_5shot_bs4_fp32.json
Normal file
@@ -0,0 +1,417 @@
|
|||||||
|
{
|
||||||
|
"results": {
|
||||||
|
"hendrycksTest-abstract_algebra": {
|
||||||
|
"acc": 0.32,
|
||||||
|
"acc_stderr": 0.046882617226215034,
|
||||||
|
"acc_norm": 0.32,
|
||||||
|
"acc_norm_stderr": 0.046882617226215034
|
||||||
|
},
|
||||||
|
"hendrycksTest-anatomy": {
|
||||||
|
"acc": 0.4666666666666667,
|
||||||
|
"acc_stderr": 0.043097329010363554,
|
||||||
|
"acc_norm": 0.4666666666666667,
|
||||||
|
"acc_norm_stderr": 0.043097329010363554
|
||||||
|
},
|
||||||
|
"hendrycksTest-astronomy": {
|
||||||
|
"acc": 0.39473684210526316,
|
||||||
|
"acc_stderr": 0.039777499346220734,
|
||||||
|
"acc_norm": 0.39473684210526316,
|
||||||
|
"acc_norm_stderr": 0.039777499346220734
|
||||||
|
},
|
||||||
|
"hendrycksTest-business_ethics": {
|
||||||
|
"acc": 0.49,
|
||||||
|
"acc_stderr": 0.05024183937956912,
|
||||||
|
"acc_norm": 0.49,
|
||||||
|
"acc_norm_stderr": 0.05024183937956912
|
||||||
|
},
|
||||||
|
"hendrycksTest-clinical_knowledge": {
|
||||||
|
"acc": 0.47547169811320755,
|
||||||
|
"acc_stderr": 0.030735822206205608,
|
||||||
|
"acc_norm": 0.47547169811320755,
|
||||||
|
"acc_norm_stderr": 0.030735822206205608
|
||||||
|
},
|
||||||
|
"hendrycksTest-college_biology": {
|
||||||
|
"acc": 0.4583333333333333,
|
||||||
|
"acc_stderr": 0.04166666666666666,
|
||||||
|
"acc_norm": 0.4583333333333333,
|
||||||
|
"acc_norm_stderr": 0.04166666666666666
|
||||||
|
},
|
||||||
|
"hendrycksTest-college_chemistry": {
|
||||||
|
"acc": 0.29,
|
||||||
|
"acc_stderr": 0.04560480215720684,
|
||||||
|
"acc_norm": 0.29,
|
||||||
|
"acc_norm_stderr": 0.04560480215720684
|
||||||
|
},
|
||||||
|
"hendrycksTest-college_computer_science": {
|
||||||
|
"acc": 0.38,
|
||||||
|
"acc_stderr": 0.048783173121456316,
|
||||||
|
"acc_norm": 0.38,
|
||||||
|
"acc_norm_stderr": 0.048783173121456316
|
||||||
|
},
|
||||||
|
"hendrycksTest-college_mathematics": {
|
||||||
|
"acc": 0.25,
|
||||||
|
"acc_stderr": 0.04351941398892446,
|
||||||
|
"acc_norm": 0.25,
|
||||||
|
"acc_norm_stderr": 0.04351941398892446
|
||||||
|
},
|
||||||
|
"hendrycksTest-college_medicine": {
|
||||||
|
"acc": 0.4046242774566474,
|
||||||
|
"acc_stderr": 0.03742461193887248,
|
||||||
|
"acc_norm": 0.4046242774566474,
|
||||||
|
"acc_norm_stderr": 0.03742461193887248
|
||||||
|
},
|
||||||
|
"hendrycksTest-college_physics": {
|
||||||
|
"acc": 0.24509803921568626,
|
||||||
|
"acc_stderr": 0.042801058373643966,
|
||||||
|
"acc_norm": 0.24509803921568626,
|
||||||
|
"acc_norm_stderr": 0.042801058373643966
|
||||||
|
},
|
||||||
|
"hendrycksTest-computer_security": {
|
||||||
|
"acc": 0.54,
|
||||||
|
"acc_stderr": 0.05009082659620332,
|
||||||
|
"acc_norm": 0.54,
|
||||||
|
"acc_norm_stderr": 0.05009082659620332
|
||||||
|
},
|
||||||
|
"hendrycksTest-conceptual_physics": {
|
||||||
|
"acc": 0.40425531914893614,
|
||||||
|
"acc_stderr": 0.03208115750788684,
|
||||||
|
"acc_norm": 0.40425531914893614,
|
||||||
|
"acc_norm_stderr": 0.03208115750788684
|
||||||
|
},
|
||||||
|
"hendrycksTest-econometrics": {
|
||||||
|
"acc": 0.3157894736842105,
|
||||||
|
"acc_stderr": 0.043727482902780064,
|
||||||
|
"acc_norm": 0.3157894736842105,
|
||||||
|
"acc_norm_stderr": 0.043727482902780064
|
||||||
|
},
|
||||||
|
"hendrycksTest-electrical_engineering": {
|
||||||
|
"acc": 0.4413793103448276,
|
||||||
|
"acc_stderr": 0.04137931034482757,
|
||||||
|
"acc_norm": 0.4413793103448276,
|
||||||
|
"acc_norm_stderr": 0.04137931034482757
|
||||||
|
},
|
||||||
|
"hendrycksTest-elementary_mathematics": {
|
||||||
|
"acc": 0.2830687830687831,
|
||||||
|
"acc_stderr": 0.023201392938194974,
|
||||||
|
"acc_norm": 0.2830687830687831,
|
||||||
|
"acc_norm_stderr": 0.023201392938194974
|
||||||
|
},
|
||||||
|
"hendrycksTest-formal_logic": {
|
||||||
|
"acc": 0.23015873015873015,
|
||||||
|
"acc_stderr": 0.037649508797906045,
|
||||||
|
"acc_norm": 0.23015873015873015,
|
||||||
|
"acc_norm_stderr": 0.037649508797906045
|
||||||
|
},
|
||||||
|
"hendrycksTest-global_facts": {
|
||||||
|
"acc": 0.34,
|
||||||
|
"acc_stderr": 0.04760952285695235,
|
||||||
|
"acc_norm": 0.34,
|
||||||
|
"acc_norm_stderr": 0.04760952285695235
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_biology": {
|
||||||
|
"acc": 0.47419354838709676,
|
||||||
|
"acc_stderr": 0.028406095057653326,
|
||||||
|
"acc_norm": 0.47419354838709676,
|
||||||
|
"acc_norm_stderr": 0.028406095057653326
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_chemistry": {
|
||||||
|
"acc": 0.3251231527093596,
|
||||||
|
"acc_stderr": 0.032957975663112704,
|
||||||
|
"acc_norm": 0.3251231527093596,
|
||||||
|
"acc_norm_stderr": 0.032957975663112704
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_computer_science": {
|
||||||
|
"acc": 0.44,
|
||||||
|
"acc_stderr": 0.04988876515698589,
|
||||||
|
"acc_norm": 0.44,
|
||||||
|
"acc_norm_stderr": 0.04988876515698589
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_european_history": {
|
||||||
|
"acc": 0.6363636363636364,
|
||||||
|
"acc_stderr": 0.03756335775187897,
|
||||||
|
"acc_norm": 0.6363636363636364,
|
||||||
|
"acc_norm_stderr": 0.03756335775187897
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_geography": {
|
||||||
|
"acc": 0.5404040404040404,
|
||||||
|
"acc_stderr": 0.035507024651313425,
|
||||||
|
"acc_norm": 0.5404040404040404,
|
||||||
|
"acc_norm_stderr": 0.035507024651313425
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_government_and_politics": {
|
||||||
|
"acc": 0.6269430051813472,
|
||||||
|
"acc_stderr": 0.03490205592048573,
|
||||||
|
"acc_norm": 0.6269430051813472,
|
||||||
|
"acc_norm_stderr": 0.03490205592048573
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_macroeconomics": {
|
||||||
|
"acc": 0.41025641025641024,
|
||||||
|
"acc_stderr": 0.024939313906940784,
|
||||||
|
"acc_norm": 0.41025641025641024,
|
||||||
|
"acc_norm_stderr": 0.024939313906940784
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_mathematics": {
|
||||||
|
"acc": 0.2740740740740741,
|
||||||
|
"acc_stderr": 0.027195934804085622,
|
||||||
|
"acc_norm": 0.2740740740740741,
|
||||||
|
"acc_norm_stderr": 0.027195934804085622
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_microeconomics": {
|
||||||
|
"acc": 0.42436974789915966,
|
||||||
|
"acc_stderr": 0.03210479051015776,
|
||||||
|
"acc_norm": 0.42436974789915966,
|
||||||
|
"acc_norm_stderr": 0.03210479051015776
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_physics": {
|
||||||
|
"acc": 0.271523178807947,
|
||||||
|
"acc_stderr": 0.03631329803969653,
|
||||||
|
"acc_norm": 0.271523178807947,
|
||||||
|
"acc_norm_stderr": 0.03631329803969653
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_psychology": {
|
||||||
|
"acc": 0.618348623853211,
|
||||||
|
"acc_stderr": 0.020828148517022582,
|
||||||
|
"acc_norm": 0.618348623853211,
|
||||||
|
"acc_norm_stderr": 0.020828148517022582
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_statistics": {
|
||||||
|
"acc": 0.27314814814814814,
|
||||||
|
"acc_stderr": 0.03038805130167812,
|
||||||
|
"acc_norm": 0.27314814814814814,
|
||||||
|
"acc_norm_stderr": 0.03038805130167812
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_us_history": {
|
||||||
|
"acc": 0.6470588235294118,
|
||||||
|
"acc_stderr": 0.03354092437591518,
|
||||||
|
"acc_norm": 0.6470588235294118,
|
||||||
|
"acc_norm_stderr": 0.03354092437591518
|
||||||
|
},
|
||||||
|
"hendrycksTest-high_school_world_history": {
|
||||||
|
"acc": 0.6371308016877637,
|
||||||
|
"acc_stderr": 0.03129920825530213,
|
||||||
|
"acc_norm": 0.6371308016877637,
|
||||||
|
"acc_norm_stderr": 0.03129920825530213
|
||||||
|
},
|
||||||
|
"hendrycksTest-human_aging": {
|
||||||
|
"acc": 0.5560538116591929,
|
||||||
|
"acc_stderr": 0.03334625674242728,
|
||||||
|
"acc_norm": 0.5560538116591929,
|
||||||
|
"acc_norm_stderr": 0.03334625674242728
|
||||||
|
},
|
||||||
|
"hendrycksTest-human_sexuality": {
|
||||||
|
"acc": 0.549618320610687,
|
||||||
|
"acc_stderr": 0.04363643698524779,
|
||||||
|
"acc_norm": 0.549618320610687,
|
||||||
|
"acc_norm_stderr": 0.04363643698524779
|
||||||
|
},
|
||||||
|
"hendrycksTest-international_law": {
|
||||||
|
"acc": 0.628099173553719,
|
||||||
|
"acc_stderr": 0.04412015806624504,
|
||||||
|
"acc_norm": 0.628099173553719,
|
||||||
|
"acc_norm_stderr": 0.04412015806624504
|
||||||
|
},
|
||||||
|
"hendrycksTest-jurisprudence": {
|
||||||
|
"acc": 0.48148148148148145,
|
||||||
|
"acc_stderr": 0.04830366024635331,
|
||||||
|
"acc_norm": 0.48148148148148145,
|
||||||
|
"acc_norm_stderr": 0.04830366024635331
|
||||||
|
},
|
||||||
|
"hendrycksTest-logical_fallacies": {
|
||||||
|
"acc": 0.5214723926380368,
|
||||||
|
"acc_stderr": 0.03924746876751129,
|
||||||
|
"acc_norm": 0.5214723926380368,
|
||||||
|
"acc_norm_stderr": 0.03924746876751129
|
||||||
|
},
|
||||||
|
"hendrycksTest-machine_learning": {
|
||||||
|
"acc": 0.42857142857142855,
|
||||||
|
"acc_stderr": 0.04697113923010212,
|
||||||
|
"acc_norm": 0.42857142857142855,
|
||||||
|
"acc_norm_stderr": 0.04697113923010212
|
||||||
|
},
|
||||||
|
"hendrycksTest-management": {
|
||||||
|
"acc": 0.5242718446601942,
|
||||||
|
"acc_stderr": 0.049449010929737795,
|
||||||
|
"acc_norm": 0.5242718446601942,
|
||||||
|
"acc_norm_stderr": 0.049449010929737795
|
||||||
|
},
|
||||||
|
"hendrycksTest-marketing": {
|
||||||
|
"acc": 0.7094017094017094,
|
||||||
|
"acc_stderr": 0.02974504857267408,
|
||||||
|
"acc_norm": 0.7094017094017094,
|
||||||
|
"acc_norm_stderr": 0.02974504857267408
|
||||||
|
},
|
||||||
|
"hendrycksTest-medical_genetics": {
|
||||||
|
"acc": 0.56,
|
||||||
|
"acc_stderr": 0.04988876515698589,
|
||||||
|
"acc_norm": 0.56,
|
||||||
|
"acc_norm_stderr": 0.04988876515698589
|
||||||
|
},
|
||||||
|
"hendrycksTest-miscellaneous": {
|
||||||
|
"acc": 0.6194125159642401,
|
||||||
|
"acc_stderr": 0.017362564126075414,
|
||||||
|
"acc_norm": 0.6194125159642401,
|
||||||
|
"acc_norm_stderr": 0.017362564126075414
|
||||||
|
},
|
||||||
|
"hendrycksTest-moral_disputes": {
|
||||||
|
"acc": 0.5260115606936416,
|
||||||
|
"acc_stderr": 0.026882643434022885,
|
||||||
|
"acc_norm": 0.5260115606936416,
|
||||||
|
"acc_norm_stderr": 0.026882643434022885
|
||||||
|
},
|
||||||
|
"hendrycksTest-moral_scenarios": {
|
||||||
|
"acc": 0.23798882681564246,
|
||||||
|
"acc_stderr": 0.014242630070574911,
|
||||||
|
"acc_norm": 0.23798882681564246,
|
||||||
|
"acc_norm_stderr": 0.014242630070574911
|
||||||
|
},
|
||||||
|
"hendrycksTest-nutrition": {
|
||||||
|
"acc": 0.4803921568627451,
|
||||||
|
"acc_stderr": 0.028607893699576063,
|
||||||
|
"acc_norm": 0.4803921568627451,
|
||||||
|
"acc_norm_stderr": 0.028607893699576063
|
||||||
|
},
|
||||||
|
"hendrycksTest-philosophy": {
|
||||||
|
"acc": 0.5594855305466238,
|
||||||
|
"acc_stderr": 0.028196400574197426,
|
||||||
|
"acc_norm": 0.5594855305466238,
|
||||||
|
"acc_norm_stderr": 0.028196400574197426
|
||||||
|
},
|
||||||
|
"hendrycksTest-prehistory": {
|
||||||
|
"acc": 0.5462962962962963,
|
||||||
|
"acc_stderr": 0.0277012284685426,
|
||||||
|
"acc_norm": 0.5462962962962963,
|
||||||
|
"acc_norm_stderr": 0.0277012284685426
|
||||||
|
},
|
||||||
|
"hendrycksTest-professional_accounting": {
|
||||||
|
"acc": 0.36524822695035464,
|
||||||
|
"acc_stderr": 0.02872386385328128,
|
||||||
|
"acc_norm": 0.36524822695035464,
|
||||||
|
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"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||||
|
"model.norm.weight": "model-00003-of-00003.safetensors"
|
||||||
|
}
|
||||||
|
}
|
||||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
|||||||
|
{
|
||||||
|
"bos_token": {
|
||||||
|
"content": "<s>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"eos_token": {
|
||||||
|
"content": "</s>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"unk_token": {
|
||||||
|
"content": "<unk>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
}
|
||||||
|
}
|
||||||
93391
tokenizer.json
Normal file
93391
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
||||||
|
size 499723
|
||||||
41
tokenizer_config.json
Normal file
41
tokenizer_config.json
Normal file
@@ -0,0 +1,41 @@
|
|||||||
|
{
|
||||||
|
"add_bos_token": true,
|
||||||
|
"add_eos_token": false,
|
||||||
|
"added_tokens_decoder": {
|
||||||
|
"0": {
|
||||||
|
"content": "<unk>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"1": {
|
||||||
|
"content": "<s>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"2": {
|
||||||
|
"content": "</s>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"bos_token": "<s>",
|
||||||
|
"clean_up_tokenization_spaces": false,
|
||||||
|
"eos_token": "</s>",
|
||||||
|
"legacy": false,
|
||||||
|
"model_max_length": 1000000000000000019884624838656,
|
||||||
|
"pad_token": null,
|
||||||
|
"padding_side": "right",
|
||||||
|
"sp_model_kwargs": {},
|
||||||
|
"tokenizer_class": "LlamaTokenizer",
|
||||||
|
"unk_token": "<unk>",
|
||||||
|
"use_default_system_prompt": false
|
||||||
|
}
|
||||||
28
truthfulqa_mc_0shot.json
Normal file
28
truthfulqa_mc_0shot.json
Normal file
@@ -0,0 +1,28 @@
|
|||||||
|
{
|
||||||
|
"results": {
|
||||||
|
"truthfulqa_mc": {
|
||||||
|
"mc1": 0.31211750305997554,
|
||||||
|
"mc1_stderr": 0.016220756769520926,
|
||||||
|
"mc2": 0.44918598673219645,
|
||||||
|
"mc2_stderr": 0.014886808872838312
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"versions": {
|
||||||
|
"truthfulqa_mc": 1
|
||||||
|
},
|
||||||
|
"config": {
|
||||||
|
"model": "hf-causal-experimental",
|
||||||
|
"model_args": {
|
||||||
|
"pretrained": "/network/alexandre/research/llama2_7b_ultrachat/dense/dense_finetuning/dense_LR1e-4_E1/training",
|
||||||
|
"trust_remote_code": true
|
||||||
|
},
|
||||||
|
"num_fewshot": 0,
|
||||||
|
"batch_size": "8",
|
||||||
|
"batch_sizes": [],
|
||||||
|
"device": "cuda:5",
|
||||||
|
"no_cache": true,
|
||||||
|
"limit": null,
|
||||||
|
"bootstrap_iters": 100000,
|
||||||
|
"description_dict": {}
|
||||||
|
}
|
||||||
|
}
|
||||||
25
truthfulqa_mc_0shot_bs16_fp32.json
Normal file
25
truthfulqa_mc_0shot_bs16_fp32.json
Normal file
@@ -0,0 +1,25 @@
|
|||||||
|
{
|
||||||
|
"results": {
|
||||||
|
"truthfulqa_mc": {
|
||||||
|
"mc1": 0.3108935128518972,
|
||||||
|
"mc1_stderr": 0.016203316673559693,
|
||||||
|
"mc2": 0.44831514010134543,
|
||||||
|
"mc2_stderr": 0.014913413696247348
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"versions": {
|
||||||
|
"truthfulqa_mc": 1
|
||||||
|
},
|
||||||
|
"config": {
|
||||||
|
"model": "sparseml",
|
||||||
|
"model_args": "pretrained=/nm/drive1/alexandre/zoo/llama2-7b-ultrachat200k_llama2_pretrain-base/training,dtype=float32",
|
||||||
|
"num_fewshot": 0,
|
||||||
|
"batch_size": "16",
|
||||||
|
"batch_sizes": [],
|
||||||
|
"device": "cuda:3",
|
||||||
|
"no_cache": true,
|
||||||
|
"limit": null,
|
||||||
|
"bootstrap_iters": 100000,
|
||||||
|
"description_dict": {}
|
||||||
|
}
|
||||||
|
}
|
||||||
23
winogrande_5shot_bs16_fp32.json
Normal file
23
winogrande_5shot_bs16_fp32.json
Normal file
@@ -0,0 +1,23 @@
|
|||||||
|
{
|
||||||
|
"results": {
|
||||||
|
"winogrande": {
|
||||||
|
"acc": 0.7261247040252565,
|
||||||
|
"acc_stderr": 0.012533292732620297
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"versions": {
|
||||||
|
"winogrande": 0
|
||||||
|
},
|
||||||
|
"config": {
|
||||||
|
"model": "sparseml",
|
||||||
|
"model_args": "pretrained=/nm/drive1/alexandre/zoo/llama2-7b-ultrachat200k_llama2_pretrain-base/training,dtype=float32",
|
||||||
|
"num_fewshot": 5,
|
||||||
|
"batch_size": "16",
|
||||||
|
"batch_sizes": [],
|
||||||
|
"device": "cuda:3",
|
||||||
|
"no_cache": true,
|
||||||
|
"limit": null,
|
||||||
|
"bootstrap_iters": 100000,
|
||||||
|
"description_dict": {}
|
||||||
|
}
|
||||||
|
}
|
||||||
Reference in New Issue
Block a user