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Model: AIPlans/tinyllama-1.1b-dpo-pku-saferlhf 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: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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library_name: transformers
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license: apache-2.0
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tags:
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- trl
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- dpo
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- generated_from_trainer
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model-index:
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- name: tinyllama-1.1b-dpo-pku-saferlhf
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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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# tinyllama-1.1b-dpo-pku-saferlhf
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This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6742
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- Rewards/chosen: 0.0508
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- Rewards/rejected: 0.0098
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- Rewards/accuracies: 0.6750
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- Rewards/margins: 0.0410
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- Logps/rejected: -205.4332
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- Logps/chosen: -232.6254
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- Logits/rejected: -2.5959
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- Logits/chosen: -2.7163
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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: 5e-07
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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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: 1.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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| 0.6899 | 0.0960 | 200 | 0.6898 | 0.0058 | -0.0017 | 0.5680 | 0.0074 | -205.5475 | -233.0753 | -2.5954 | -2.7156 |
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| 0.6868 | 0.1920 | 400 | 0.6851 | 0.0253 | 0.0080 | 0.6300 | 0.0174 | -205.4510 | -232.8795 | -2.5955 | -2.7157 |
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| 0.6741 | 0.2880 | 600 | 0.6806 | 0.0368 | 0.0096 | 0.6410 | 0.0272 | -205.4345 | -232.7647 | -2.5956 | -2.7159 |
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| 0.6767 | 0.3840 | 800 | 0.6753 | 0.0499 | 0.0115 | 0.6670 | 0.0384 | -205.4159 | -232.6337 | -2.5954 | -2.7158 |
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| 0.676 | 0.4800 | 1000 | 0.6766 | 0.0494 | 0.0133 | 0.6570 | 0.0361 | -205.3982 | -232.6393 | -2.5960 | -2.7163 |
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| 0.6774 | 0.5760 | 1200 | 0.6742 | 0.0508 | 0.0098 | 0.6750 | 0.0410 | -205.4332 | -232.6254 | -2.5959 | -2.7163 |
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| 0.6746 | 0.6719 | 1400 | 0.6737 | 0.0529 | 0.0107 | 0.6550 | 0.0422 | -205.4236 | -232.6038 | -2.5958 | -2.7162 |
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| 0.6678 | 0.7679 | 1600 | 0.6743 | 0.0513 | 0.0104 | 0.6630 | 0.0409 | -205.4272 | -232.6203 | -2.5960 | -2.7164 |
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| 0.6833 | 0.8639 | 1800 | 0.6739 | 0.0528 | 0.0108 | 0.6620 | 0.0420 | -205.4227 | -232.6052 | -2.5959 | -2.7163 |
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| 0.6743 | 0.9599 | 2000 | 0.6741 | 0.0530 | 0.0115 | 0.6450 | 0.0415 | -205.4160 | -232.6033 | -2.5958 | -2.7163 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.10.0+cu130
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 0.9997600191984641,
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"eval_logits/chosen": -2.71634578704834,
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"eval_logits/rejected": -2.595935583114624,
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"eval_logps/chosen": -232.62538146972656,
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"eval_logps/rejected": -205.43319702148438,
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"eval_loss": 0.6742354035377502,
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"eval_rewards/accuracies": 0.675000011920929,
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"eval_rewards/chosen": 0.050759363919496536,
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"eval_rewards/margins": 0.041003111749887466,
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"eval_rewards/rejected": 0.009756244719028473,
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"eval_runtime": 21.1604,
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"eval_samples_per_second": 47.258,
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"eval_steps_per_second": 11.815,
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"total_flos": 0.0,
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"train_loss": 0.6792905164692074,
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"train_runtime": 2163.7863,
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"train_samples_per_second": 15.405,
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"train_steps_per_second": 0.963
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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": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
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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": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 5632,
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"max_position_embeddings": 2048,
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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": 22,
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"num_key_value_heads": 4,
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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": "4.44.2",
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"use_cache": false,
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"vocab_size": 32000
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}
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eval_results.json
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{
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"epoch": 0.9997600191984641,
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"eval_logits/chosen": -2.71634578704834,
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"eval_logits/rejected": -2.595935583114624,
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"eval_logps/chosen": -232.62538146972656,
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"eval_logps/rejected": -205.43319702148438,
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"eval_loss": 0.6742354035377502,
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"eval_rewards/accuracies": 0.675000011920929,
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"eval_rewards/chosen": 0.050759363919496536,
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"eval_rewards/margins": 0.041003111749887466,
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"eval_rewards/rejected": 0.009756244719028473,
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"eval_runtime": 21.1604,
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"eval_samples_per_second": 47.258,
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"eval_steps_per_second": 11.815
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}
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generation_config.json
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{
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"bos_token_id": 1,
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"eos_token_id": 2,
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"max_length": 2048,
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"pad_token_id": 0,
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"transformers_version": "4.44.2"
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}
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model.safetensors
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model.safetensors
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special_tokens_map.json
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special_tokens_map.json
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tokenizer.json
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tokenizer.json
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tokenizer.model
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tokenizer_config.json
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"add_bos_token": true,
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"bos_token": "<s>",
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"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"padding_side": "left",
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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train_results.json
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{
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}
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size 6545
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