opt-vocab_error_5pct_42_1e-3
This model is a fine-tuned version of /work/10368/siyuansong/vista/models/opt-vocab_error_5pct_42_1e-3/config.json on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.8642
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: 0.001
- train_batch_size: 256
- eval_batch_size: 256
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 2048
- 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: linear
- lr_scheduler_warmup_steps: 32000
- num_epochs: 10.0
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 262 | 7.1354 |
No log | 2.0 | 524 | 5.5908 |
No log | 3.0 | 786 | 5.0254 |
6.3452 | 4.0 | 1048 | 4.7233 |
6.3452 | 5.0 | 1310 | 4.4926 |
6.3452 | 6.0 | 1572 | 4.3161 |
6.3452 | 7.0 | 1834 | 4.1744 |
4.4 | 8.0 | 2096 | 4.0644 |
4.4 | 9.0 | 2358 | 3.9606 |
4.4 | 10.0 | 2620 | 3.8642 |
Framework versions
- Transformers 4.54.0.dev0
- Pytorch 2.5.1
- Datasets 3.6.0
- Tokenizers 0.21.1
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