| | --- |
| | license: other |
| | tags: |
| | - generated_from_trainer |
| | base_model: facebook/opt-125m |
| | model-index: |
| | - name: opt125_wiki_ce |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # opt125_wiki_ce |
| |
|
| | This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.8236 |
| |
|
| | ## 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: 1e-05 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 2 |
| | - total_train_batch_size: 16 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 500 |
| | - num_epochs: 3 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 3.1211 | 0.8340 | 500 | 2.8961 | |
| | | 2.9653 | 1.6681 | 1000 | 2.8385 | |
| | | 2.8971 | 2.5021 | 1500 | 2.8258 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.40.2 |
| | - Pytorch 2.2.2 |
| | - Datasets 2.19.1 |
| | - Tokenizers 0.19.1 |
| |
|
