pythia160m-sft-tldr
This model is a fine-tuned version of EleutherAI/pythia-160m-deduped on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7556
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: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.8454 | 0.4002 | 365 | 2.8609 |
| 2.7873 | 0.8004 | 730 | 2.7859 |
| 2.7641 | 1.2007 | 1095 | 2.7616 |
| 2.7486 | 1.6009 | 1460 | 2.7556 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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