Commit
•
01f4421
1
Parent(s):
925fe25
Model save
Browse files- README.md +82 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +545 -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_120-samples_config-2_full_auto
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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_120-samples_config-2_full_auto
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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: 1.1073
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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: 16
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- total_train_batch_size: 16
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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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| 2.1572 | 0.9091 | 5 | 2.1149 |
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| 2.0048 | 2.0 | 11 | 1.8150 |
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| 1.651 | 2.9091 | 16 | 1.5524 |
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| 1.2397 | 4.0 | 22 | 1.1141 |
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| 0.9602 | 4.9091 | 27 | 0.9207 |
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| 0.8646 | 6.0 | 33 | 0.8729 |
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| 0.7895 | 6.9091 | 38 | 0.8490 |
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| 0.7762 | 8.0 | 44 | 0.8273 |
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| 0.7412 | 8.9091 | 49 | 0.8120 |
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| 0.6669 | 10.0 | 55 | 0.7971 |
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| 0.6184 | 10.9091 | 60 | 0.7873 |
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| 0.5857 | 12.0 | 66 | 0.7943 |
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| 0.5374 | 12.9091 | 71 | 0.8102 |
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| 0.4629 | 14.0 | 77 | 0.8345 |
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| 0.396 | 14.9091 | 82 | 0.8902 |
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| 0.336 | 16.0 | 88 | 0.9196 |
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| 0.2438 | 16.9091 | 93 | 1.0492 |
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| 0.1943 | 18.0 | 99 | 1.1073 |
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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 sha256:1752fb7377faf35366bdee41ad815ce588e3be773f6ceb8fdeebe01050409ba1
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size 167832240
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all_results.json
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{
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"epoch": 18.0,
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"total_flos": 2.635991088313139e+16,
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"train_loss": 0.8564288653809615,
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"train_runtime": 1910.1082,
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"train_samples": 88,
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"train_samples_per_second": 2.304,
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"train_steps_per_second": 0.131
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}
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train_results.json
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{
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"epoch": 18.0,
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"total_flos": 2.635991088313139e+16,
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"train_loss": 0.8564288653809615,
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"train_runtime": 1910.1082,
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"train_samples": 88,
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"train_samples_per_second": 2.304,
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"train_steps_per_second": 0.131
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}
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trainer_state.json
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