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---
base_model: EleutherAI/pythia-31m
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: BL-pythia-31m-simple_wikipedia_LM-2048
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. -->
# BL-pythia-31m-simple_wikipedia_LM-2048
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://huggingface.co/EleutherAI/pythia-31m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6874
- Accuracy: 0.4105
## 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: 0.0005
- train_batch_size: 1
- eval_batch_size: 1
- seed: 80085
- gradient_accumulation_steps: 64
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-07
- lr_scheduler_type: inverse_sqrt
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 6.0657 | 0.22 | 100 | 5.6210 | 0.2414 |
| 5.2447 | 0.45 | 200 | 4.9316 | 0.3054 |
| 4.8397 | 0.67 | 300 | 4.6011 | 0.3343 |
| 4.7933 | 0.9 | 400 | 4.3878 | 0.3530 |
| 4.274 | 1.12 | 500 | 4.2352 | 0.3646 |
| 4.4867 | 1.35 | 600 | 4.1224 | 0.3723 |
| 4.3434 | 1.57 | 700 | 4.0282 | 0.3791 |
| 4.1857 | 1.8 | 800 | 3.9552 | 0.3841 |
| 4.229 | 2.02 | 900 | 3.8890 | 0.3909 |
| 3.9189 | 2.25 | 1000 | 3.8301 | 0.3967 |
| 4.084 | 2.47 | 1100 | 3.7782 | 0.4023 |
| 3.8965 | 2.7 | 1200 | 3.7302 | 0.4069 |
| 3.915 | 2.92 | 1300 | 3.6874 | 0.4105 |
### Framework versions
- Transformers 4.33.1
- Pytorch 2.2.0.dev20230907+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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