Model save
Browse files- README.md +90 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +1813 -0
README.md
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| 1 |
+
---
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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-2_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-2_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: 0.8289
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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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| 1.0365 | 1.0 | 17 | 1.1316 |
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| 1.1746 | 2.0 | 34 | 1.1196 |
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| 1.0933 | 3.0 | 51 | 1.0957 |
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| 0.985 | 4.0 | 68 | 1.0540 |
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| 0.9741 | 5.0 | 85 | 0.9950 |
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| 1.0008 | 6.0 | 102 | 0.9377 |
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| 0.8935 | 7.0 | 119 | 0.8939 |
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| 0.8862 | 8.0 | 136 | 0.8579 |
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| 0.8266 | 9.0 | 153 | 0.8294 |
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| 0.7797 | 10.0 | 170 | 0.8075 |
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| 0.8158 | 11.0 | 187 | 0.7903 |
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| 0.6845 | 12.0 | 204 | 0.7742 |
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| 0.6819 | 13.0 | 221 | 0.7598 |
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| 0.7241 | 14.0 | 238 | 0.7472 |
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| 0.695 | 15.0 | 255 | 0.7365 |
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| 0.6982 | 16.0 | 272 | 0.7272 |
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| 0.622 | 17.0 | 289 | 0.7215 |
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| 0.5905 | 18.0 | 306 | 0.7156 |
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| 0.6121 | 19.0 | 323 | 0.7140 |
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| 0.567 | 20.0 | 340 | 0.7166 |
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| 0.5471 | 21.0 | 357 | 0.7172 |
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| 0.4761 | 22.0 | 374 | 0.7234 |
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| 0.4967 | 23.0 | 391 | 0.7358 |
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| 0.4833 | 24.0 | 408 | 0.7644 |
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| 0.4071 | 25.0 | 425 | 0.8012 |
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| 0.3567 | 26.0 | 442 | 0.8289 |
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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
CHANGED
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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 sha256:417ecf2e864cb4dd0073d3d5bb288f9a5f59f201cbb62fc4f0134fa633622d66
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size 167832240
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all_results.json
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{
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"epoch": 26.0,
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"total_flos": 3.38458179962667e+17,
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"train_loss": 0.7497456199173475,
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"train_runtime": 12081.7026,
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"train_samples": 136,
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"train_samples_per_second": 1.689,
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"train_steps_per_second": 0.211
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}
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train_results.json
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{
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"epoch": 26.0,
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"total_flos": 3.38458179962667e+17,
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"train_loss": 0.7497456199173475,
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"train_runtime": 12081.7026,
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"train_samples": 136,
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"train_samples_per_second": 1.689,
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"train_steps_per_second": 0.211
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}
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trainer_state.json
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