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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-scratch
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-scratch
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: 4.1763
- Accuracy: 0.3676
## 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: 2
- eval_batch_size: 2
- seed: 80085
- gradient_accumulation_steps: 64
- total_train_batch_size: 128
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 5.8617 | 0.45 | 100 | 5.5276 | 0.2451 |
| 5.2782 | 0.9 | 200 | 4.9596 | 0.2965 |
| 4.9996 | 1.35 | 300 | 4.6412 | 0.3310 |
| 4.6292 | 1.8 | 400 | 4.4344 | 0.3485 |
| 4.5339 | 2.25 | 500 | 4.2875 | 0.3600 |
| 4.5214 | 2.7 | 600 | 4.1763 | 0.3676 |
### Framework versions
- Transformers 4.33.1
- Pytorch 2.2.0.dev20230907+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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