metadata
library_name: transformers
license: apache-2.0
base_model: EleutherAI/pythia-410m
tags:
- generated_from_trainer
model-index:
- name: EleutherAI-pythia-410m-finetuned-nvidia-faq
results: []
EleutherAI-pythia-410m-finetuned-nvidia-faq
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: 0.2026
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use adagrad and the args are: No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2307 | 0.2813 | 50 | 0.2261 |
| 0.2178 | 0.5626 | 100 | 0.2179 |
| 0.213 | 0.8439 | 150 | 0.2135 |
| 0.1883 | 1.1294 | 200 | 0.2109 |
| 0.2153 | 1.4107 | 250 | 0.2091 |
| 0.2183 | 1.6920 | 300 | 0.2075 |
| 0.1855 | 1.9733 | 350 | 0.2063 |
| 0.1723 | 2.2588 | 400 | 0.2056 |
| 0.1971 | 2.5401 | 450 | 0.2050 |
| 0.1724 | 2.8214 | 500 | 0.2043 |
| 0.1954 | 3.1069 | 550 | 0.2038 |
| 0.169 | 3.3882 | 600 | 0.2035 |
| 0.1937 | 3.6695 | 650 | 0.2032 |
| 0.1786 | 3.9508 | 700 | 0.2029 |
| 0.2031 | 4.2363 | 750 | 0.2028 |
| 0.186 | 4.5176 | 800 | 0.2027 |
| 0.1797 | 4.7989 | 850 | 0.2026 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0