Commit
•
0315e33
1
Parent(s):
3bf50cd
Model save
Browse files- README.md +99 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +2417 -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-1_180-samples_config-3_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-1_180-samples_config-3_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: 0.9400
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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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| 2.4542 | 1.0 | 17 | 2.4259 |
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| 2.4022 | 2.0 | 34 | 2.3882 |
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| 2.3317 | 3.0 | 51 | 2.3140 |
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| 2.2607 | 4.0 | 68 | 2.2050 |
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| 2.1352 | 5.0 | 85 | 2.0643 |
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| 1.9456 | 6.0 | 102 | 1.8885 |
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| 1.7528 | 7.0 | 119 | 1.7025 |
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| 1.4935 | 8.0 | 136 | 1.4674 |
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| 1.2733 | 9.0 | 153 | 1.2421 |
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| 1.1154 | 10.0 | 170 | 1.1134 |
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| 1.1202 | 11.0 | 187 | 1.0689 |
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| 0.9449 | 12.0 | 204 | 1.0450 |
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| 0.9973 | 13.0 | 221 | 1.0253 |
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| 1.0562 | 14.0 | 238 | 1.0091 |
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| 0.9947 | 15.0 | 255 | 0.9928 |
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| 1.0096 | 16.0 | 272 | 0.9804 |
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| 0.9222 | 17.0 | 289 | 0.9692 |
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| 0.8838 | 18.0 | 306 | 0.9603 |
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| 0.8942 | 19.0 | 323 | 0.9511 |
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| 0.9058 | 20.0 | 340 | 0.9432 |
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| 0.8837 | 21.0 | 357 | 0.9354 |
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| 0.795 | 22.0 | 374 | 0.9315 |
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| 0.8395 | 23.0 | 391 | 0.9243 |
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| 0.8308 | 24.0 | 408 | 0.9169 |
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| 0.7863 | 25.0 | 425 | 0.9138 |
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| 0.7468 | 26.0 | 442 | 0.9068 |
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| 0.7658 | 27.0 | 459 | 0.9008 |
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| 0.7128 | 28.0 | 476 | 0.8992 |
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| 0.6474 | 29.0 | 493 | 0.9064 |
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| 0.6387 | 30.0 | 510 | 0.9089 |
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| 0.6846 | 31.0 | 527 | 0.9096 |
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| 0.6424 | 32.0 | 544 | 0.9173 |
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| 0.6598 | 33.0 | 561 | 0.9238 |
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| 0.6634 | 34.0 | 578 | 0.9290 |
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| 0.5893 | 35.0 | 595 | 0.9400 |
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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 sha256:01ec7a291e7130b2a2288f91a204e2717a24f2776c6c423148f280acd735d755
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size 167832240
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all_results.json
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{
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"epoch": 35.0,
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"total_flos": 7.576813686279373e+16,
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"train_loss": 1.1527870081052058,
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"train_runtime": 5617.142,
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"train_samples": 136,
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"train_samples_per_second": 3.632,
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"train_steps_per_second": 0.454
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}
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train_results.json
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{
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"epoch": 35.0,
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"total_flos": 7.576813686279373e+16,
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"train_loss": 1.1527870081052058,
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"train_runtime": 5617.142,
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"train_samples": 136,
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"train_samples_per_second": 3.632,
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"train_steps_per_second": 0.454
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}
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trainer_state.json
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