metadata
license: apache-2.0
base_model: EleutherAI/pythia-160m-deduped
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: pythia160m-sft-tldr
results: []
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: 3.3864
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: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.2966 | 0.2007 | 183 | 3.5566 |
| 3.5154 | 0.4013 | 366 | 3.4336 |
| 3.4239 | 0.6020 | 549 | 3.4037 |
| 3.3856 | 0.8026 | 732 | 3.3864 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1