BABYLM_50000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.8863
- Accuracy: 0.3690
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: 0.0006
- train_batch_size: 32
- eval_batch_size: 32
- seed: 41
- optimizer: Use 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: 1000
- num_epochs: 10.0
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
1.1472 | 1.0 | 1008 | 4.4067 | 0.3239 |
1.0265 | 2.0 | 2016 | 4.3543 | 0.3260 |
1.011 | 3.0 | 3024 | 4.3273 | 0.3275 |
1.0037 | 4.0 | 4032 | 4.2573 | 0.3327 |
0.9846 | 5.0 | 5040 | 4.2131 | 0.3388 |
0.9628 | 6.0 | 6048 | 4.1228 | 0.3467 |
0.9383 | 7.0 | 7056 | 4.0391 | 0.3538 |
0.9143 | 8.0 | 8064 | 3.9592 | 0.3621 |
0.8929 | 9.0 | 9072 | 3.9107 | 0.3665 |
0.88 | 10.0 | 10080 | 3.8863 | 0.3690 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
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