metadata
license: other
base_model: facebook/opt-125m
tags:
- generated_from_trainer
model-index:
- name: BASE
results: []
BASE
This model is a fine-tuned version of 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