---
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
model-index:
- name: version_1305
  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. -->

# version_1305

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:
- Bp: 0.0692
- Counts: [1132, 692, 368, 143]
- Loss: 0.1515
- Precisions: [70.35425730267247, 57.85953177257525, 46.93877551020408, 37.53280839895013]
- Ref Len: 5907
- Score: 3.5793
- Sys Len: 1609
- Totals: [1609, 1196, 784, 381]

## 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: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Bp     | Counts                | Validation Loss | Precisions                                                                     | Ref Len | Score  | Sys Len | Totals                 |
|:-------------:|:-----:|:----:|:------:|:---------------------:|:---------------:|:------------------------------------------------------------------------------:|:-------:|:------:|:-------:|:----------------------:|
| 0.1836        | 1.0   | 464  | 0.0693 | [1132, 692, 368, 143] | 0.1625          | [70.31055900621118, 57.811194653299914, 46.87898089171974, 37.43455497382199]  | 5907    | 3.5827 | 1610    | [1610, 1197, 785, 382] |
| 0.1712        | 2.0   | 928  | 0.0693 | [1136, 696, 371, 145] | 0.1545          | [70.55900621118012, 58.145363408521305, 47.261146496815286, 37.95811518324607] | 5907    | 3.6109 | 1610    | [1610, 1197, 785, 382] |
| 0.1626        | 3.0   | 1392 | 0.0692 | [1132, 692, 368, 143] | 0.1515          | [70.35425730267247, 57.85953177257525, 46.93877551020408, 37.53280839895013]   | 5907    | 3.5793 | 1609    | [1609, 1196, 784, 381] |


### Framework versions

- Transformers 4.44.1
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.19.1