| | --- |
| | license: other |
| | base_model: facebook/opt-125m |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: BASE |
| | 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. --> |
| |
|
| | # BASE |
| |
|
| | 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: 3.3414 |
| | - Ppl: 29.2811 |
| |
|
| | ## 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: 0.0001 |
| | - train_batch_size: 2 |
| | - eval_batch_size: 2 |
| | - seed: 22554 |
| | - distributed_type: multi-GPU |
| | - num_devices: 2 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 32 |
| | - total_eval_batch_size: 4 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_steps: 2000 |
| | - num_epochs: 10 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Ppl | |
| | |:-------------:|:-----:|:-----:|:---------------:|:-------:| |
| | | 4.2333 | 2.51 | 4000 | 4.0199 | 57.7725 | |
| | | 3.5457 | 5.01 | 8000 | 3.4861 | 33.8623 | |
| | | 3.3372 | 7.52 | 12000 | 3.3414 | 29.2811 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.35.0.dev0 |
| | - Pytorch 1.13.1+cu117 |
| | - Datasets 2.14.6 |
| | - Tokenizers 0.14.1 |
| | |
