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# t5-base-finetuned-jamendo-1-epochs

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6106

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

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 4.7386        | 0.03  | 5000   | 5.0387          |
| 4.1861        | 0.05  | 10000  | 4.4039          |
| 4.2526        | 0.08  | 15000  | 4.0396          |
| 4.5082        | 0.11  | 20000  | 3.8230          |
| 4.5717        | 0.13  | 25000  | 3.6899          |
| 3.3498        | 0.16  | 30000  | 3.6018          |
| 3.7051        | 0.18  | 35000  | 3.5430          |
| 3.994         | 0.21  | 40000  | 3.4818          |
| 3.1388        | 0.24  | 45000  | 3.4297          |
| 3.1811        | 0.26  | 50000  | 3.3662          |
| 3.5069        | 0.29  | 55000  | 3.3302          |
| 3.6618        | 0.32  | 60000  | 3.3029          |
| 3.1444        | 0.34  | 65000  | 3.2941          |
| 3.2546        | 0.37  | 70000  | 3.2828          |
| 3.2194        | 0.39  | 75000  | 3.2815          |
| 3.1319        | 0.42  | 80000  | 3.2951          |
| 3.0055        | 0.45  | 85000  | 3.3464          |
| 3.8339        | 0.47  | 90000  | 3.3839          |
| 3.7603        | 0.5   | 95000  | 3.3961          |
| 3.0006        | 0.53  | 100000 | 3.3877          |
| 2.9475        | 0.55  | 105000 | 3.4514          |
| 3.1159        | 0.58  | 110000 | 3.4359          |
| 2.8221        | 0.61  | 115000 | 3.5010          |
| 3.1381        | 0.63  | 120000 | 3.4727          |
| 2.8698        | 0.66  | 125000 | 3.5077          |
| 2.8787        | 0.68  | 130000 | 3.4998          |
| 3.1428        | 0.71  | 135000 | 3.5375          |
| 3.338         | 0.74  | 140000 | 3.5433          |
| 3.1677        | 0.76  | 145000 | 3.5527          |
| 2.9904        | 0.79  | 150000 | 3.5842          |
| 3.2251        | 0.82  | 155000 | 3.5973          |
| 3.2135        | 0.84  | 160000 | 3.5730          |
| 3.3155        | 0.87  | 165000 | 3.5862          |
| 3.4767        | 0.89  | 170000 | 3.5912          |
| 2.9137        | 0.92  | 175000 | 3.5920          |
| 3.1084        | 0.95  | 180000 | 3.6024          |
| 3.3176        | 0.97  | 185000 | 3.6066          |
| 3.2806        | 1.0   | 190000 | 3.6106          |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1
- Datasets 2.9.0
- Tokenizers 0.13.2

{"tags": ["generated_from_trainer"], "model-index": [{"name": "t5-base-finetuned-jamendo-1-epochs", "results": []}]}
transformers pytorch tensorboard t5 text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

t5-base-finetuned-jamendo-1-epochs
==================================


This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 3.6106


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: 1e-05
* train\_batch\_size: 1
* eval\_batch\_size: 1
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1
* Datasets 2.9.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-05
* train\_batch\_size: 1
* eval\_batch\_size: 1
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-05
* train\_batch\_size: 1
* eval\_batch\_size: 1
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1
* Datasets 2.9.0
* Tokenizers 0.13.2