---
tags:
- generated_from_trainer
metrics:
- accuracy
license: apache-2.0
datasets:
- pszemraj/simple_wikipedia_LM
language:
- en
---

<!-- 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. -->

# pszemraj/griffin-v0.01-c3t-8layer-simplewiki

- griffin/recurrent_gemma arch
- claude3 tokenizer (as an HF gpt2 tokenizer)

## Model description

This model is a fine-tuned version of [./griffin-1024-c3t-8layer](https://huggingface.co/./griffin-1024-c3t-8layer) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.1928
- Accuracy: 0.4084


## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 80085
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-07
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 13.2525       | 0.2548 | 100  | 11.9768         | 0.0131   |
| 8.8873        | 0.5095 | 200  | 8.0127          | 0.0357   |
| 7.2457        | 0.7643 | 300  | 6.4508          | 0.0512   |
| 6.3152        | 1.0190 | 400  | 5.6163          | 0.0460   |
| 5.5586        | 1.2738 | 500  | 4.7645          | 0.3650   |
| 5.2936        | 1.5285 | 600  | 4.3919          | 0.3934   |
| 4.8839        | 1.7833 | 700  | 4.1928          | 0.4084   |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1