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Model: barc0/Llama-3.1-ARC-Potpourri-Transduction-8B Source: Original Platform
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README.md
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README.md
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---
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library_name: transformers
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license: llama3.1
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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tags:
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- alignment-handbook
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- trl
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- sft
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- generated_from_trainer
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- trl
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- sft
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- generated_from_trainer
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datasets:
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- barc0/transduction_heavy_100k_jsonl
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- barc0/transduction_heavy_suggestfunction_100k_jsonl
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- barc0/transduction_rearc_dataset_400k
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- barc0/transduction_angmented_100k-gpt4-description-gpt4omini-code_generated_problems
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- barc0/transduction_angmented_100k_gpt4o-mini_generated_problems
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model-index:
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- name: engineer1-heavy-barc-llama3.1-8b-ins-fft-transduction_lr1e-5_epoch3
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# engineer1-heavy-barc-llama3.1-8b-ins-fft-transduction_lr1e-5_epoch3
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the barc0/transduction_heavy_100k_jsonl, the barc0/transduction_heavy_suggestfunction_100k_jsonl, the barc0/transduction_rearc_dataset_400k, the barc0/transduction_angmented_100k-gpt4-description-gpt4omini-code_generated_problems and the barc0/transduction_angmented_100k_gpt4o-mini_generated_problems datasets.
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It achieves the following results on the evaluation set:
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- Loss: 0.0219
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 128
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- total_eval_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.0378 | 1.0 | 3729 | 0.0330 |
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| 0.0234 | 2.0 | 7458 | 0.0227 |
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| 0.0116 | 3.0 | 11187 | 0.0219 |
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### Framework versions
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- Transformers 4.45.0.dev0
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- Pytorch 2.4.0+cu121
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- Datasets 3.0.2
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 3.0,
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"eval_loss": 0.02185099571943283,
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"eval_runtime": 292.4151,
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"eval_samples": 25121,
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"eval_samples_per_second": 85.909,
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"eval_steps_per_second": 1.344,
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"total_flos": 4.3304182632184545e+18,
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"train_loss": 0.030125039980372262,
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"train_runtime": 67465.0545,
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"train_samples": 477250,
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"train_samples_per_second": 21.222,
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"train_steps_per_second": 0.166
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}
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config.json
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config.json
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{
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"_name_or_path": "meta-llama/Meta-Llama-3.1-8B-Instruct",
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"architectures": [
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"LlamaForCausalLM"
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],
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"head_dim": 128,
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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": 14336,
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"max_position_embeddings": 131072,
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"mlp_bias": false,
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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": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 8.0,
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"original_max_position_embeddings": 8192,
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"rope_type": "llama3"
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"rope_theta": 500000.0,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.45.0.dev0",
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"use_cache": true,
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"vocab_size": 128256
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|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.norm.weight": "model-00004-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:f84e3e6867f5c758fd0a159b5d3911db80443803ff0d57d9929aed64e3cf5f36
|
||||
size 2367163
|
||||
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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||||
oid sha256:b5d7c7188fbf1a847c859f39e709de9736dc1cd888fe237d2301993c46125f64
|
||||
size 359
|
||||
17
special_tokens_map.json
Normal file
17
special_tokens_map.json
Normal file
@@ -0,0 +1,17 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|eot_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": "<|eot_id|>"
|
||||
}
|
||||
410568
tokenizer.json
Normal file
410568
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
2063
tokenizer_config.json
Normal file
2063
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
9
train_results.json
Normal file
9
train_results.json
Normal file
@@ -0,0 +1,9 @@
|
||||
{
|
||||
"epoch": 3.0,
|
||||
"total_flos": 4.3304182632184545e+18,
|
||||
"train_loss": 0.030125039980372262,
|
||||
"train_runtime": 67465.0545,
|
||||
"train_samples": 477250,
|
||||
"train_samples_per_second": 21.222,
|
||||
"train_steps_per_second": 0.166
|
||||
}
|
||||
78375
trainer_state.json
Normal file
78375
trainer_state.json
Normal file
File diff suppressed because it is too large
Load Diff
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:fa47b3d8ba66205fa97e501f54305fd57cd564e2f7a672e20faef16a94bff252
|
||||
size 7224
|
||||
Reference in New Issue
Block a user