stella-base-en-v2-finetuned-colet
This model is a fine-tuned version of infgrad/stella-base-en-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 7.3027
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 8.5596 | 1.0 | 32 | 7.5865 |
| 7.4649 | 2.0 | 64 | 7.3027 |
| 7.3587 | 3.0 | 96 | 7.3353 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for gamino/stella-base-en-v2-finetuned-colet
Base model
infgrad/stella-base-en-v2