---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: google/flan-t5-base
model-index:
- name: flan-t5-base-Mistral7BI-LORA-V1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# flan-t5-base-Mistral7BI-LORA-V1

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6273
- Exact Match: 32.8431
- Gen Len: 3.8500

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Exact Match | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-----------:|:-------:|
| 0.6768        | 1.0   | 4246  | 0.7026          | 24.8937     | 3.9547  |
| 0.6585        | 2.0   | 8492  | 0.6736          | 27.4687     | 3.9347  |
| 0.6501        | 3.0   | 12738 | 0.6543          | 29.961      | 3.8808  |
| 0.7615        | 4.0   | 16984 | 0.6446          | 29.7189     | 3.8876  |
| 0.5709        | 5.0   | 21230 | 0.6413          | 30.9828     | 3.8304  |
| 0.6062        | 6.0   | 25476 | 0.6387          | 31.7328     | 3.8798  |
| 0.5539        | 7.0   | 29722 | 0.6318          | 31.4907     | 3.8315  |
| 0.5708        | 8.0   | 33968 | 0.6319          | 32.2939     | 3.8669  |
| 0.6859        | 9.0   | 38214 | 0.6269          | 32.6069     | 3.8267  |
| 0.6026        | 10.0  | 42460 | 0.6271          | 32.6246     | 3.8338  |
| 0.5558        | 11.0  | 46706 | 0.6272          | 32.7014     | 3.8460  |
| 0.566         | 12.0  | 50952 | 0.6273          | 32.8431     | 3.8500  |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.2.1
- Datasets 2.19.2
- Tokenizers 0.19.1