vinitanair_lamini_EleutherAI_704_steps
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7610
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 704
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.1731 | 0.6818 | 120 | 1.7213 |
1.2031 | 1.3636 | 240 | 1.7044 |
0.6454 | 2.0455 | 360 | 1.7203 |
0.9624 | 2.7273 | 480 | 1.7212 |
0.879 | 3.4091 | 600 | 1.7610 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Tokenizers 0.19.1
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