Commit
•
0586828
1
Parent(s):
8120292
Model save
Browse files- README.md +97 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +980 -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_60-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_60-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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4865
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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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| 2.4489 | 0.8696 | 5 | 2.4703 |
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| 2.4891 | 1.9130 | 11 | 2.4545 |
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| 2.4697 | 2.9565 | 17 | 2.4172 |
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| 2.5196 | 4.0 | 23 | 2.3543 |
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| 2.4481 | 4.8696 | 28 | 2.2785 |
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| 2.2925 | 5.9130 | 34 | 2.1509 |
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| 2.0169 | 6.9565 | 40 | 1.9728 |
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| 1.6364 | 8.0 | 46 | 1.7441 |
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| 1.6047 | 8.8696 | 51 | 1.5192 |
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| 1.3126 | 9.9130 | 57 | 1.2353 |
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| 1.0406 | 10.9565 | 63 | 0.9674 |
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| 0.8254 | 12.0 | 69 | 0.7402 |
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| 0.7723 | 12.8696 | 74 | 0.6372 |
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| 0.4327 | 13.9130 | 80 | 0.5750 |
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| 0.279 | 14.9565 | 86 | 0.5313 |
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| 0.4039 | 16.0 | 92 | 0.5047 |
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| 0.5227 | 16.8696 | 97 | 0.4883 |
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| 0.3704 | 17.9130 | 103 | 0.4936 |
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| 0.497 | 18.9565 | 109 | 0.4907 |
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| 0.4428 | 20.0 | 115 | 0.4828 |
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| 0.3477 | 20.8696 | 120 | 0.4825 |
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| 0.4628 | 21.9130 | 126 | 0.4857 |
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| 0.367 | 22.9565 | 132 | 0.4827 |
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| 0.2597 | 24.0 | 138 | 0.4768 |
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| 0.3473 | 24.8696 | 143 | 0.4684 |
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| 0.3795 | 25.9130 | 149 | 0.4657 |
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| 0.437 | 26.9565 | 155 | 0.4706 |
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| 0.3478 | 28.0 | 161 | 0.4760 |
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| 0.254 | 28.8696 | 166 | 0.4745 |
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| 0.3934 | 29.9130 | 172 | 0.4813 |
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| 0.3074 | 30.9565 | 178 | 0.4815 |
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| 0.3447 | 32.0 | 184 | 0.4823 |
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| 0.225 | 32.8696 | 189 | 0.4865 |
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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:b76ec0fef8820476a92dc6bed577fadb19ca2f0b2543db1cb632c20881fc3983
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size 167832240
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all_results.json
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{
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"epoch": 32.869565217391305,
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"total_flos": 1.2027607575743693e+17,
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"train_loss": 0.9406116593767095,
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"train_runtime": 4446.8494,
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"train_samples": 46,
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"train_samples_per_second": 1.552,
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"train_steps_per_second": 0.169
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}
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train_results.json
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{
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"epoch": 32.869565217391305,
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"total_flos": 1.2027607575743693e+17,
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"train_loss": 0.9406116593767095,
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"train_runtime": 4446.8494,
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"train_samples": 46,
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"train_samples_per_second": 1.552,
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"train_steps_per_second": 0.169
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}
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trainer_state.json
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