---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.2
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: mistral-7b-32k-billm-finetuned-token-classification
  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. -->

# mistral-7b-32k-billm-finetuned-token-classification

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6070
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.7473

## 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: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
| No log        | 0.9957 | 73   | 1.0053          | 0.0       | 0.0    | 0.0 | 0.7275   |
| No log        | 1.9915 | 146  | 0.8578          | 0.0       | 0.0    | 0.0 | 0.7426   |
| No log        | 2.9872 | 219  | 0.7958          | 0.0       | 0.0    | 0.0 | 0.7195   |
| No log        | 3.9966 | 293  | 0.6437          | 0.0       | 0.0    | 0.0 | 0.7144   |
| No log        | 4.9923 | 366  | 0.6283          | 0.0       | 0.0    | 0.0 | 0.7318   |
| No log        | 5.9881 | 439  | 0.6543          | 0.0       | 0.0    | 0.0 | 0.7553   |
| 0.9335        | 6.9974 | 513  | 0.6112          | 0.0       | 0.0    | 0.0 | 0.7037   |
| 0.9335        | 7.9932 | 586  | 0.6053          | 0.0       | 0.0    | 0.0 | 0.7373   |
| 0.9335        | 8.9889 | 659  | 0.6208          | 0.0       | 0.0    | 0.0 | 0.7518   |
| 0.9335        | 9.9574 | 730  | 0.6070          | 0.0       | 0.0    | 0.0 | 0.7473   |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.2.2
- Datasets 2.18.0
- Tokenizers 0.19.1