Commit
•
86d2323
1
Parent(s):
ae6a226
Model save
Browse files- README.md +86 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +1543 -0
README.md
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+
---
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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library_name: peft
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license: llama3.1
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tags:
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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-1_180-samples_config-3
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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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# Llama-31-8B_task-1_180-samples_config-3
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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5460
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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: 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: 8
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- total_train_batch_size: 8
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.1142 | 1.0 | 17 | 2.0665 |
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| 1.999 | 2.0 | 34 | 2.0373 |
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| 1.9478 | 3.0 | 51 | 1.9763 |
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| 1.8469 | 4.0 | 68 | 1.8651 |
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| 1.7424 | 5.0 | 85 | 1.7083 |
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| 1.6109 | 6.0 | 102 | 1.5913 |
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| 1.4629 | 7.0 | 119 | 1.5339 |
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| 1.4728 | 8.0 | 136 | 1.4790 |
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| 1.4044 | 9.0 | 153 | 1.4184 |
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| 1.2885 | 10.0 | 170 | 1.3676 |
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| 1.3419 | 11.0 | 187 | 1.3272 |
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| 1.1269 | 12.0 | 204 | 1.3011 |
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| 1.1586 | 13.0 | 221 | 1.2765 |
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| 1.1923 | 14.0 | 238 | 1.2690 |
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| 1.1147 | 15.0 | 255 | 1.2578 |
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| 1.0264 | 16.0 | 272 | 1.2624 |
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| 0.9349 | 17.0 | 289 | 1.2617 |
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| 0.8531 | 18.0 | 306 | 1.2745 |
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| 0.7922 | 19.0 | 323 | 1.3237 |
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| 0.7745 | 20.0 | 340 | 1.3550 |
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| 0.7142 | 21.0 | 357 | 1.4246 |
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| 0.4873 | 22.0 | 374 | 1.5460 |
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### Framework versions
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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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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 167832240
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:66cb01b96be77f78feb848c5eeb5e24505c5cc7c5de0c07c8a73fe3014a9feee
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size 167832240
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all_results.json
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{
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"epoch": 22.0,
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"total_flos": 4.76256860635136e+16,
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"train_loss": 1.309851686744129,
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"train_runtime": 3534.2998,
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"train_samples": 136,
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"train_samples_per_second": 5.772,
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"train_steps_per_second": 0.722
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}
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train_results.json
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{
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"epoch": 22.0,
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"total_flos": 4.76256860635136e+16,
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"train_loss": 1.309851686744129,
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"train_runtime": 3534.2998,
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"train_samples": 136,
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"train_samples_per_second": 5.772,
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"train_steps_per_second": 0.722
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}
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trainer_state.json
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