metadata
license: apache-2.0
base_model: EleutherAI/pythia-160m
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: python_and_text_pythia_160m
results: []
python_and_text_pythia_160m
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6491
- Accuracy: 0.1972
- Num Input Tokens Seen: 1941504
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 | 9.8144 | 0.1972 | 0 |
| 2.0211 | 0.6329 | 50 | 1.9535 | 0.1268 | 409600 |
| 1.916 | 1.2658 | 100 | 1.6972 | 0.1972 | 819200 |
| 1.6616 | 1.8987 | 150 | 1.6491 | 0.1972 | 1228800 |
| 1.565 | 2.5316 | 200 | 1.6664 | 0.1408 | 1638400 |
Framework versions
- Transformers 4.43.2
- Pytorch 2.4.0
- Datasets 2.20.0
- Tokenizers 0.19.1