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---
license: apache-2.0
base_model: EleutherAI/pythia-2.8b
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mary-snyder-paleturquoise
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mary-snyder-paleturquoise
This model is a fine-tuned version of [EleutherAI/pythia-2.8b](https://huggingface.co/EleutherAI/pythia-2.8b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 8.1016
- Accuracy: 0.6
## 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: 4
- eval_batch_size: 16
- seed: 24
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 2500
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 0.1932 | 8.5561 | 400 | 4.5586 | 0.6 |
| 0.0061 | 17.1123 | 800 | 5.8789 | 0.6 |
| 0.008 | 25.6684 | 1200 | 8.5 | 0.5 |
| 0.0018 | 34.2246 | 1600 | 4.4258 | 0.5 |
| 0.0437 | 42.7807 | 2000 | 7.6797 | 0.5 |
| 0.0152 | 51.3369 | 2400 | 8.1016 | 0.6 |
### Framework versions
- Transformers 4.41.1
- Pytorch 2.1.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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