metadata
library_name: peft
license: apache-2.0
base_model: EleutherAI/pythia-410m-deduped
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 1db30786-aad8-4587-a235-519326aa26bb
results: []
1db30786-aad8-4587-a235-519326aa26bb
This model is a fine-tuned version of EleutherAI/pythia-410m-deduped on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8320
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: 0.000214
- train_batch_size: 4
- eval_batch_size: 4
- seed: 140
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0005 | 1 | 4.2553 |
| 2.9014 | 0.0239 | 50 | 1.3918 |
| 4.0067 | 0.0478 | 100 | 2.3113 |
| 3.2874 | 0.0717 | 150 | 1.4772 |
| 2.4335 | 0.0956 | 200 | 1.0888 |
| 2.7371 | 0.1194 | 250 | 1.1248 |
| 2.2539 | 0.1433 | 300 | 0.9772 |
| 2.3061 | 0.1672 | 350 | 0.9379 |
| 2.0217 | 0.1911 | 400 | 0.8595 |
| 2.2005 | 0.2150 | 450 | 0.8373 |
| 2.1046 | 0.2389 | 500 | 0.8320 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1