
<!-- 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. -->

# my_awesome_opus_books_model

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7068
- Bleu: 18.7799
- Gen Len: 15.8006

## 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: 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 2.3877        | 1.0   | 1250  | 2.1378          | 12.0972 | 15.964  |
| 2.2843        | 2.0   | 2500  | 2.0580          | 13.53   | 15.9109 |
| 2.2341        | 3.0   | 3750  | 1.9979          | 14.3797 | 15.9101 |
| 2.1456        | 4.0   | 5000  | 1.9475          | 14.9564 | 15.8565 |
| 2.1174        | 5.0   | 6250  | 1.9083          | 15.6059 | 15.8881 |
| 2.0813        | 6.0   | 7500  | 1.8743          | 16.1015 | 15.906  |
| 2.0502        | 7.0   | 8750  | 1.8449          | 16.6439 | 15.8066 |
| 2.0057        | 8.0   | 10000 | 1.8208          | 16.9371 | 15.8399 |
| 1.9874        | 9.0   | 11250 | 1.7971          | 17.3101 | 15.8339 |
| 1.9591        | 10.0  | 12500 | 1.7803          | 17.5769 | 15.8081 |
| 1.949         | 11.0  | 13750 | 1.7656          | 17.8263 | 15.7695 |
| 1.934         | 12.0  | 15000 | 1.7531          | 18.1862 | 15.7996 |
| 1.9163        | 13.0  | 16250 | 1.7419          | 18.3336 | 15.7962 |
| 1.9026        | 14.0  | 17500 | 1.7317          | 18.4599 | 15.7972 |
| 1.8914        | 15.0  | 18750 | 1.7255          | 18.5804 | 15.7754 |
| 1.8884        | 16.0  | 20000 | 1.7169          | 18.6063 | 15.8268 |
| 1.8975        | 17.0  | 21250 | 1.7134          | 18.6702 | 15.7824 |
| 1.8815        | 18.0  | 22500 | 1.7092          | 18.762  | 15.8065 |
| 1.8727        | 19.0  | 23750 | 1.7080          | 18.7832 | 15.7955 |
| 1.8733        | 20.0  | 25000 | 1.7068          | 18.7799 | 15.8006 |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "model-index": [{"name": "my_awesome_opus_books_model", "results": []}]}
transformers pytorch tensorboard t5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

my\_awesome\_opus\_books\_model
===============================


This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 1.7068
* Bleu: 18.7799
* Gen Len: 15.8006


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: 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: 20
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.29.2
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* 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: 20
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.29.2
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* 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: 20
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.29.2
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3