Model save
Browse files- README.md +77 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +932 -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-3_180-samples_config-1_full
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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-3_180-samples_config-1_full
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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: 1.4002
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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: 0.0001
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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: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.6392 | 1.0 | 17 | 1.6279 |
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| 1.4618 | 2.0 | 34 | 1.4343 |
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| 1.2006 | 3.0 | 51 | 1.2241 |
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| 1.0799 | 4.0 | 68 | 1.1761 |
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| 1.0615 | 5.0 | 85 | 1.1524 |
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| 1.0045 | 6.0 | 102 | 1.1361 |
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| 0.9831 | 7.0 | 119 | 1.1392 |
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| 0.8698 | 8.0 | 136 | 1.1567 |
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| 0.7759 | 9.0 | 153 | 1.1918 |
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| 0.7296 | 10.0 | 170 | 1.2537 |
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| 0.6747 | 11.0 | 187 | 1.2852 |
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| 0.4777 | 12.0 | 204 | 1.3877 |
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| 0.5052 | 13.0 | 221 | 1.4002 |
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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:a6c60cbf74f2953eaf4e9ca05e627db8a7accd5daaf0cdf28efbdcb30ba584ee
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size 167832240
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all_results.json
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{
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"epoch": 13.0,
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"total_flos": 1.386613776014377e+17,
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"train_loss": 0.9896936357291036,
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"train_runtime": 5091.6658,
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"train_samples": 136,
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"train_samples_per_second": 1.336,
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"train_steps_per_second": 0.167
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}
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train_results.json
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{
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"epoch": 13.0,
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"total_flos": 1.386613776014377e+17,
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"train_loss": 0.9896936357291036,
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"train_runtime": 5091.6658,
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"train_samples": 136,
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"train_samples_per_second": 1.336,
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"train_steps_per_second": 0.167
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}
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trainer_state.json
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