---
license: apache-2.0
base_model: google/t5-v1_1-xl
tags:
- generated_from_trainer
model-index:
- name: Sentiment-google-t5-v1_1-xl-intra-frequency-model-cross-ent
  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. -->

# Sentiment-google-t5-v1_1-xl-intra-frequency-model-cross-ent

This model is a fine-tuned version of [google/t5-v1_1-xl](https://huggingface.co/google/t5-v1_1-xl) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 10.4219

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 14.3641       | 1.0   | 32   | 10.4219         |
| 13.993        | 2.0   | 64   | 10.4219         |
| 13.3539       | 3.0   | 96   | 10.4219         |
| 14.0648       | 4.0   | 128  | 10.4141         |
| 13.5898       | 5.0   | 160  | 10.4219         |
| 13.8164       | 6.0   | 192  | 10.4219         |
| 14.1805       | 7.0   | 224  | 10.4219         |
| 13.8742       | 8.0   | 256  | 10.4219         |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0