prompt_tuning_t2t_11122024110433_sst2_t2t_text_origin_0_meta-llama-3.2-1b
This model is a fine-tuned version of meta-llama/Llama-3.2-1B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2369
- Exact Match: 1.0
- F1: 1.0
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.3
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Exact Match | F1 |
---|---|---|---|---|---|
0.3488 | 1.0 | 4147 | 0.3424 | 0.0 | 0.0 |
0.3466 | 2.0 | 8294 | 0.3473 | 0.305 | 0.3139 |
0.2802 | 3.0 | 12441 | 0.2794 | 0.997 | 0.9973 |
0.2498 | 4.0 | 16588 | 0.2472 | 1.0 | 1.0 |
0.2294 | 5.0 | 20735 | 0.2369 | 1.0 | 1.0 |
Framework versions
- PEFT 0.13.2
- Transformers 4.47.0.dev0
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for kisejin/prompt_tuning_t2t_11122024110433_sst2_t2t_text_origin_0_meta-llama-3.2-1b
Base model
meta-llama/Llama-3.2-1B