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Add GaetanMichelet__Llama-31-8B_task-2_180-samples_config-4

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  1. GaetanMichelet__Llama-31-8B_task-2_180-samples_config-4/.gitattributes +35 -0
  2. GaetanMichelet__Llama-31-8B_task-2_180-samples_config-4/README.md +105 -0
  3. GaetanMichelet__Llama-31-8B_task-2_180-samples_config-4/adapter_config.json +34 -0
  4. GaetanMichelet__Llama-31-8B_task-2_180-samples_config-4/adapter_model.safetensors +3 -0
  5. GaetanMichelet__Llama-31-8B_task-2_180-samples_config-4/all_results.json +14 -0
  6. GaetanMichelet__Llama-31-8B_task-2_180-samples_config-4/config.json +54 -0
  7. GaetanMichelet__Llama-31-8B_task-2_180-samples_config-4/eval_results.json +8 -0
  8. GaetanMichelet__Llama-31-8B_task-2_180-samples_config-4/runs/Aug18_22-14-48_9mqd6r3-l/events.out.tfevents.1724012108.9mqd6r3-l.3190443.0 +3 -0
  9. GaetanMichelet__Llama-31-8B_task-2_180-samples_config-4/runs/Aug18_22-14-48_9mqd6r3-l/events.out.tfevents.1724028884.9mqd6r3-l.3190443.1 +3 -0
  10. GaetanMichelet__Llama-31-8B_task-2_180-samples_config-4/special_tokens_map.json +17 -0
  11. GaetanMichelet__Llama-31-8B_task-2_180-samples_config-4/tokenizer.json +0 -0
  12. GaetanMichelet__Llama-31-8B_task-2_180-samples_config-4/tokenizer_config.json +2063 -0
  13. GaetanMichelet__Llama-31-8B_task-2_180-samples_config-4/train_results.json +9 -0
  14. GaetanMichelet__Llama-31-8B_task-2_180-samples_config-4/trainer_state.json +1417 -0
  15. GaetanMichelet__Llama-31-8B_task-2_180-samples_config-4/training_args.bin +3 -0
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GaetanMichelet__Llama-31-8B_task-2_180-samples_config-4/README.md ADDED
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+ ---
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+ base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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+ datasets:
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+ - GaetanMichelet/chat-60_ft_task-2
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+ - GaetanMichelet/chat-120_ft_task-2
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+ - GaetanMichelet/chat-180_ft_task-2
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+ library_name: peft
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+ license: llama3.1
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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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+ model-index:
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+ - name: Llama-31-8B_task-2_180-samples_config-4
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+ results: []
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+ ---
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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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+
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+ # Llama-31-8B_task-2_180-samples_config-4
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+
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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 GaetanMichelet/chat-60_ft_task-2, the GaetanMichelet/chat-120_ft_task-2 and the GaetanMichelet/chat-180_ft_task-2 datasets.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7156
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 1
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - gradient_accumulation_steps: 16
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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: 150
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-------:|:----:|:---------------:|
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+ | 1.0917 | 0.9412 | 8 | 1.1326 |
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+ | 1.1392 | 2.0 | 17 | 1.1271 |
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+ | 1.1572 | 2.9412 | 25 | 1.1161 |
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+ | 1.0856 | 4.0 | 34 | 1.0970 |
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+ | 1.0789 | 4.9412 | 42 | 1.0719 |
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+ | 1.0546 | 6.0 | 51 | 1.0337 |
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+ | 0.9806 | 6.9412 | 59 | 0.9923 |
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+ | 0.9617 | 8.0 | 68 | 0.9472 |
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+ | 0.933 | 8.9412 | 76 | 0.9129 |
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+ | 0.9005 | 10.0 | 85 | 0.8825 |
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+ | 0.9183 | 10.9412 | 93 | 0.8578 |
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+ | 0.7739 | 12.0 | 102 | 0.8335 |
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+ | 0.7649 | 12.9412 | 110 | 0.8165 |
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+ | 0.8197 | 14.0 | 119 | 0.8009 |
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+ | 0.7488 | 14.9412 | 127 | 0.7889 |
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+ | 0.7651 | 16.0 | 136 | 0.7770 |
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+ | 0.6992 | 16.9412 | 144 | 0.7679 |
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+ | 0.7609 | 18.0 | 153 | 0.7580 |
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+ | 0.6868 | 18.9412 | 161 | 0.7510 |
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+ | 0.7077 | 20.0 | 170 | 0.7437 |
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+ | 0.6862 | 20.9412 | 178 | 0.7379 |
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+ | 0.6939 | 22.0 | 187 | 0.7319 |
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+ | 0.6564 | 22.9412 | 195 | 0.7275 |
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+ | 0.6446 | 24.0 | 204 | 0.7236 |
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+ | 0.6304 | 24.9412 | 212 | 0.7200 |
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+ | 0.6583 | 26.0 | 221 | 0.7178 |
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+ | 0.5974 | 26.9412 | 229 | 0.7159 |
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+ | 0.6266 | 28.0 | 238 | 0.7159 |
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+ | 0.6081 | 28.9412 | 246 | 0.7156 |
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+ | 0.5853 | 30.0 | 255 | 0.7165 |
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+ | 0.54 | 30.9412 | 263 | 0.7200 |
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+ | 0.5438 | 32.0 | 272 | 0.7231 |
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+ | 0.5163 | 32.9412 | 280 | 0.7268 |
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+ | 0.5302 | 34.0 | 289 | 0.7345 |
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+ | 0.4865 | 34.9412 | 297 | 0.7542 |
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+ | 0.4774 | 36.0 | 306 | 0.7611 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.12.0
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+ - Transformers 4.44.0
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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+ "task_type": "CAUSAL_LM",
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+ "use_dora": false,
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+ "clean_up_tokenization_spaces": true,
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+ "eos_token": "<|eot_id|>",
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+ "model_input_names": [
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+ "input_ids",
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+ "attention_mask"
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+ ],
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+ "model_max_length": 2048,
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+ "pad_token": "<|eot_id|>",
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+ "tokenizer_class": "PreTrainedTokenizerFast"
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+ }
GaetanMichelet__Llama-31-8B_task-2_180-samples_config-4/train_results.json ADDED
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GaetanMichelet__Llama-31-8B_task-2_180-samples_config-4/trainer_state.json ADDED
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