train_residue_list_lr_5e-4_5_epochs
Browse files- README.md +17 -22
- adapter_config.json +3 -3
- adapter_model.safetensors +1 -1
- all_results.json +11 -11
- eval_results.json +6 -6
- model_eval_results.csv +0 -0
- trainer_log.jsonl +0 -0
- trainer_state.json +0 -0
- training_args.bin +1 -1
- training_eval_loss.png +2 -2
- training_loss.png +2 -2
README.md
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- lora
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model-index:
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- name:
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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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#
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This model is a fine-tuned version of [GreatCaptainNemo/ProLLaMA_Stage_1](https://huggingface.co/GreatCaptainNemo/ProLLaMA_Stage_1) on the adpr_train dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
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| 0.15 | 3.5385 | 1100 | 0.2087 | 13288832 |
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| 0.1387 | 3.8609 | 1200 | 0.1994 | 14501632 |
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| 0.0735 | 4.1806 | 1300 | 0.2397 | 15699672 |
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| 0.0701 | 4.5030 | 1400 | 0.2403 | 16908632 |
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| 0.0681 | 4.8255 | 1500 | 0.2435 | 18117848 |
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### Framework versions
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- PEFT 0.14.0
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- Transformers 4.
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- Pytorch 2.3.1+cu121
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- Datasets 3.5.0
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- Tokenizers 0.21.
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- lora
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- generated_from_trainer
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model-index:
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- name: train_residue_list_lr_5e-4_5_epochs
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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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# train_residue_list_lr_5e-4_5_epochs
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This model is a fine-tuned version of [GreatCaptainNemo/ProLLaMA_Stage_1](https://huggingface.co/GreatCaptainNemo/ProLLaMA_Stage_1) on the adpr_train dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5254
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- Num Input Tokens Seen: 13416448
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0005
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
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|:-------------:|:------:|:----:|:---------------:|:-----------------:|
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| 2.5191 | 0.4561 | 100 | 2.8151 | 1230464 |
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| 0.7346 | 0.9122 | 200 | 0.6728 | 2455680 |
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| 1.9608 | 1.3649 | 300 | 1.7802 | 3673744 |
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| 3.2759 | 1.8210 | 400 | 1.0581 | 4901648 |
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| 0.5697 | 2.2737 | 500 | 0.5570 | 6120272 |
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| 0.5411 | 2.7298 | 600 | 0.5424 | 7348944 |
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| 0.5415 | 3.1824 | 700 | 0.5388 | 8570128 |
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| 0.5477 | 3.6385 | 800 | 0.5335 | 9801744 |
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| 0.5305 | 4.0912 | 900 | 0.5296 | 11019520 |
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| 0.5281 | 4.5473 | 1000 | 0.5262 | 12247168 |
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### Framework versions
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- PEFT 0.14.0
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- Transformers 4.48.3
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- Pytorch 2.3.1+cu121
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- Datasets 3.5.0
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- Tokenizers 0.21.0
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adapter_config.json
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"revision": null,
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"target_modules": [
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"k_proj",
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"gate_proj",
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"v_proj",
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"o_proj",
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"q_proj",
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"down_proj"
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"up_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"revision": null,
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"target_modules": [
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"k_proj",
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"v_proj",
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"gate_proj",
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"o_proj",
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"up_proj",
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"q_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.safetensors
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all_results.json
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"eval_loss": 0.
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"total_flos": 5.447548635740897e+17,
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"train_loss": 1.1898179768427322,
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"train_samples_per_second": 25.652,
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"train_steps_per_second": 0.2
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}
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eval_results.json
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"num_input_tokens_seen": 13416448
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}
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model_eval_results.csv
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trainer_log.jsonl
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trainer_state.json
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training_args.bin
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training_eval_loss.png
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training_loss.png
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