java_and_text_pythia_410m
This model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6663
- Accuracy: 0.1806
- Num Input Tokens Seen: 1990656
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: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 8
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Input Tokens Seen |
|---|---|---|---|---|---|
| No log | 0 | 0 | 2.6310 | 0.25 | 0 |
| 1.9603 | 0.6173 | 50 | 1.8225 | 0.1944 | 409600 |
| 1.7774 | 1.2346 | 100 | 1.7544 | 0.1806 | 819200 |
| 1.6193 | 1.8519 | 150 | 1.6663 | 0.1806 | 1228800 |
| 1.7311 | 2.4691 | 200 | 1.7399 | 0.1944 | 1638400 |
Framework versions
- Transformers 4.43.2
- Pytorch 2.4.0
- Datasets 2.20.0
- Tokenizers 0.19.1