metadata
license: apache-2.0
base_model: EleutherAI/pythia-1b-deduped
tags:
- generated_from_trainer
model-index:
- name: pythia-1b-deduped-wiki_r_64_alpha_16
results: []
pythia-1b-deduped-wiki_r_64_alpha_16
This model is a fine-tuned version of EleutherAI/pythia-1b-deduped on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0297
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0892 | 0.3 | 71 | 2.0820 |
| 1.9761 | 0.61 | 142 | 2.0623 |
| 1.9197 | 0.91 | 213 | 2.0522 |
| 1.8748 | 1.21 | 284 | 2.0495 |
| 1.9705 | 1.51 | 355 | 2.0388 |
| 1.946 | 1.82 | 426 | 2.0349 |
| 2.002 | 2.12 | 497 | 2.0329 |
| 1.8831 | 2.42 | 568 | 2.0358 |
| 1.8374 | 2.73 | 639 | 2.0297 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.13.0
- Tokenizers 0.13.3