---
library_name: peft
license: gemma
base_model: google/gemma-2-2b-it
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: richards_model_v1_seq_cls
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# richards_model_v1_seq_cls

This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7607
- Accuracy: 0.9231
- F1 Weighted: 0.9227

## 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: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Weighted |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|
| 1.8642        | 1.0   | 9    | 1.1867          | 0.5385   | 0.5305      |
| 0.5131        | 2.0   | 18   | 0.6173          | 0.7308   | 0.7322      |
| 0.1905        | 3.0   | 27   | 0.6343          | 0.8462   | 0.8419      |
| 0.2568        | 4.0   | 36   | 0.6684          | 0.9231   | 0.9227      |
| 0.1103        | 5.0   | 45   | 0.7726          | 0.9231   | 0.9227      |
| 0.1025        | 6.0   | 54   | 0.7520          | 0.9231   | 0.9227      |
| 0.0104        | 7.0   | 63   | 0.7607          | 0.9231   | 0.9227      |


### Framework versions

- PEFT 0.15.2
- Transformers 4.50.0.dev0
- Pytorch 2.6.0
- Datasets 3.5.1
- Tokenizers 0.21.1