Commit
•
88bba23
1
Parent(s):
2ac1336
Model save
Browse files- README.md +93 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +1151 -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-1_180-samples_config-4
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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-4
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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: 1.4508
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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: 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: 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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| 2.0972 | 0.9412 | 8 | 2.0718 |
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| 2.0234 | 2.0 | 17 | 2.0545 |
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| 2.0324 | 2.9412 | 25 | 2.0288 |
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| 2.0064 | 4.0 | 34 | 1.9798 |
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| 1.9611 | 4.9412 | 42 | 1.9139 |
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| 1.8283 | 6.0 | 51 | 1.8090 |
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| 1.6817 | 6.9412 | 59 | 1.7011 |
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| 1.5762 | 8.0 | 68 | 1.6085 |
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| 1.5529 | 8.9412 | 76 | 1.5659 |
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| 1.4817 | 10.0 | 85 | 1.5206 |
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| 1.5125 | 10.9412 | 93 | 1.4816 |
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| 1.3226 | 12.0 | 102 | 1.4352 |
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| 1.3823 | 12.9412 | 110 | 1.3951 |
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| 1.2564 | 14.0 | 119 | 1.3580 |
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| 1.1936 | 14.9412 | 127 | 1.3305 |
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| 1.2322 | 16.0 | 136 | 1.3061 |
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| 1.1389 | 16.9412 | 144 | 1.2910 |
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| 1.2119 | 18.0 | 153 | 1.2775 |
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| 1.0796 | 18.9412 | 161 | 1.2672 |
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| 1.088 | 20.0 | 170 | 1.2627 |
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| 1.0344 | 20.9412 | 178 | 1.2631 |
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| 1.0175 | 22.0 | 187 | 1.2589 |
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| 0.9509 | 22.9412 | 195 | 1.2707 |
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| 0.8574 | 24.0 | 204 | 1.2784 |
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| 0.8673 | 24.9412 | 212 | 1.2985 |
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| 0.8657 | 26.0 | 221 | 1.3300 |
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| 0.7453 | 26.9412 | 229 | 1.3725 |
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| 0.7771 | 28.0 | 238 | 1.3823 |
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| 0.6941 | 28.9412 | 246 | 1.4508 |
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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:b9a85f33c3642d6e82adf7c78a24a2c28729b9ce155f10049683599ccef07afa
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size 167832240
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all_results.json
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{
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"epoch": 28.941176470588236,
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"total_flos": 6.277931324145664e+16,
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"train_loss": 1.3461502527560645,
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"train_runtime": 4652.7461,
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"train_samples": 136,
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"train_samples_per_second": 4.385,
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"train_steps_per_second": 0.258
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}
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train_results.json
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{
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"epoch": 28.941176470588236,
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"total_flos": 6.277931324145664e+16,
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"train_loss": 1.3461502527560645,
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"train_runtime": 4652.7461,
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"train_samples": 136,
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"train_samples_per_second": 4.385,
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"train_steps_per_second": 0.258
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}
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trainer_state.json
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