---
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-segmentwise
  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-segmentwise

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: 0.4998
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.7829

## 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: 0.001
- 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        | 0.9784 | 34   | 0.9557          | 0.0       | 0.0    | 0.0 | 0.7596   |
| No log        | 1.9856 | 69   | 0.7691          | 0.0       | 0.0    | 0.0 | 0.7707   |
| No log        | 2.9928 | 104  | 0.7086          | 0.0       | 0.0    | 0.0 | 0.7794   |
| No log        | 4.0    | 139  | 0.5693          | 0.0       | 0.0    | 0.0 | 0.7697   |
| No log        | 4.9784 | 173  | 0.5449          | 0.0       | 0.0    | 0.0 | 0.7758   |
| No log        | 5.9856 | 208  | 0.5168          | 0.0       | 0.0    | 0.0 | 0.7805   |
| No log        | 6.9928 | 243  | 0.5379          | 0.0       | 0.0    | 0.0 | 0.7838   |
| No log        | 8.0    | 278  | 0.5301          | 0.0       | 0.0    | 0.0 | 0.7847   |
| No log        | 8.9784 | 312  | 0.5007          | 0.0       | 0.0    | 0.0 | 0.7829   |
| No log        | 9.7842 | 340  | 0.4998          | 0.0       | 0.0    | 0.0 | 0.7829   |


### Framework versions

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