82 lines
2.8 KiB
Markdown
82 lines
2.8 KiB
Markdown
---
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library_name: transformers
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license: llama3.2
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base_model: meta-llama/Llama-3.2-1B-Instruct
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tags:
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- peft-factory
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- full
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- llama-factory
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- generated_from_trainer
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model-index:
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- name: train_sst2_42_1779354538
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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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# train_sst2_42_1779354538
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This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on the sst2 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0936
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- Num Input Tokens Seen: 3725120
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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: 2e-06
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
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|:-------------:|:------:|:----:|:---------------:|:-----------------:|
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| 0.0578 | 0.0500 | 379 | 0.1688 | 187072 |
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| 0.1097 | 0.1000 | 758 | 0.1367 | 373504 |
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| 0.0564 | 0.1501 | 1137 | 0.1656 | 557824 |
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| 0.1883 | 0.2001 | 1516 | 0.1097 | 743424 |
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| 0.2857 | 0.2501 | 1895 | 0.1319 | 930944 |
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| 0.1387 | 0.3001 | 2274 | 0.1241 | 1116800 |
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| 0.0494 | 0.3501 | 2653 | 0.1384 | 1303872 |
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| 0.1412 | 0.4002 | 3032 | 0.1309 | 1490688 |
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| 0.0509 | 0.4502 | 3411 | 0.1158 | 1678208 |
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| 0.179 | 0.5002 | 3790 | 0.1276 | 1864128 |
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| 0.1555 | 0.5502 | 4169 | 0.0994 | 2047552 |
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| 0.1894 | 0.6002 | 4548 | 0.1099 | 2232448 |
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| 0.1297 | 0.6503 | 4927 | 0.0997 | 2420096 |
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| 0.1829 | 0.7003 | 5306 | 0.0936 | 2605504 |
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| 0.0314 | 0.7503 | 5685 | 0.1006 | 2790656 |
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| 0.1396 | 0.8003 | 6064 | 0.0963 | 2979456 |
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| 0.171 | 0.8503 | 6443 | 0.1007 | 3167488 |
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| 0.0013 | 0.9004 | 6822 | 0.0976 | 3355520 |
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| 0.0683 | 0.9504 | 7201 | 0.0981 | 3541632 |
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### Framework versions
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- Transformers 4.51.3
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- Pytorch 2.10.0+cu128
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- Datasets 4.0.0
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- Tokenizers 0.21.4
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