metadata
license: other
base_model: facebook/opt-350m
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: opt-350m-finetuned-mnli
results: []
opt-350m-finetuned-mnli
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: 1.2789
- Accuracy: 0.5235
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 | 1.4105 | 0.4852 |
| No log | 2.0 | 2 | 1.1544 | 0.5132 |
| No log | 3.0 | 3 | 1.2071 | 0.5163 |
| No log | 4.0 | 4 | 1.0910 | 0.5094 |
| No log | 5.0 | 5 | 1.1394 | 0.5154 |
| No log | 6.0 | 6 | 1.1741 | 0.5185 |
| No log | 7.0 | 7 | 1.2318 | 0.5199 |
| No log | 8.0 | 8 | 1.2789 | 0.5235 |
| No log | 9.0 | 9 | 1.3077 | 0.5211 |
| No log | 10.0 | 10 | 1.3205 | 0.5202 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1