opt-350m-finetuned-mnli-mm
This model is a fine-tuned version of facebook/opt-350m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0148
- Accuracy: 0.5163
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 1 | 3.0148 | 0.5163 |
| No log | 2.0 | 2 | 1.7303 | 0.5153 |
| No log | 3.0 | 3 | 0.9062 | 0.4932 |
| No log | 4.0 | 4 | 1.1445 | 0.4908 |
| No log | 5.0 | 5 | 1.3091 | 0.4863 |
| No log | 6.0 | 6 | 1.2249 | 0.4901 |
| No log | 7.0 | 7 | 1.0692 | 0.4935 |
| No log | 8.0 | 8 | 0.9502 | 0.5031 |
| No log | 9.0 | 9 | 0.9018 | 0.5054 |
| No log | 10.0 | 10 | 0.8909 | 0.5089 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Base model
facebook/opt-350m