Commit
•
4dbaa51
1
Parent(s):
6a90f3b
Model save
Browse files- README.md +91 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +1877 -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-3_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-3_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: 0.5206
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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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| 2.3708 | 1.0 | 17 | 2.4982 |
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| 2.4065 | 2.0 | 34 | 2.4397 |
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| 2.3549 | 3.0 | 51 | 2.3147 |
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| 2.0578 | 4.0 | 68 | 2.0850 |
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| 1.8089 | 5.0 | 85 | 1.7080 |
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| 1.3018 | 6.0 | 102 | 1.2347 |
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| 1.0212 | 7.0 | 119 | 0.8016 |
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| 0.4899 | 8.0 | 136 | 0.6475 |
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| 0.6106 | 9.0 | 153 | 0.5890 |
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| 0.5388 | 10.0 | 170 | 0.5729 |
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| 0.7245 | 11.0 | 187 | 0.5585 |
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| 0.3568 | 12.0 | 204 | 0.5533 |
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| 0.4165 | 13.0 | 221 | 0.5353 |
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| 0.6226 | 14.0 | 238 | 0.5420 |
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| 0.3284 | 15.0 | 255 | 0.5026 |
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| 0.4813 | 16.0 | 272 | 0.5214 |
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| 0.3015 | 17.0 | 289 | 0.5116 |
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| 0.3513 | 18.0 | 306 | 0.5071 |
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| 0.3638 | 19.0 | 323 | 0.5486 |
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| 0.5246 | 20.0 | 340 | 0.4813 |
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| 0.4751 | 21.0 | 357 | 0.5369 |
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| 0.2074 | 22.0 | 374 | 0.5177 |
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| 0.2513 | 23.0 | 391 | 0.5109 |
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| 0.3019 | 24.0 | 408 | 0.5100 |
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| 0.2039 | 25.0 | 425 | 0.5429 |
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| 0.228 | 26.0 | 442 | 0.5161 |
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| 0.2127 | 27.0 | 459 | 0.5206 |
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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 sha256:78a644155e7333213a4fb780211044e7b25aadd755acca6c1270e0ebef35a617
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size 167832240
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all_results.json
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{
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"epoch": 27.0,
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"total_flos": 2.8798901486092288e+17,
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"train_loss": 0.8010637635823689,
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"train_runtime": 10567.3661,
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"train_samples": 136,
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"train_samples_per_second": 1.93,
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"train_steps_per_second": 0.241
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}
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train_results.json
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{
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"epoch": 27.0,
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"total_flos": 2.8798901486092288e+17,
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"train_loss": 0.8010637635823689,
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"train_runtime": 10567.3661,
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"train_samples": 136,
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"train_samples_per_second": 1.93,
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"train_steps_per_second": 0.241
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}
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trainer_state.json
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