## roberta-base

This model is a fine-tuned model that was trained using Amazon SageMaker and the new Hugging Face Deep Learning container.
- Problem type: Multi Class Text Classification (emotion detection).

It achieves the following results on the evaluation set:
- Loss: 0.1613253802061081
- f1: 0.9413321705151999

## Hyperparameters
```json
{
    "epochs": 10,
    "train_batch_size": 16,
    "learning_rate": 3e-5, 
    "weight_decay":0.01,
    "load_best_model_at_end": true,
    "model_name":"roberta-base",
    "do_eval": True,
    "load_best_model_at_end":True
}
```
## Validation Metrics
| key | value |
| --- | ----- |
| eval_accuracy  | 0.941 |
| eval_f1 | 0.9413321705151999 |
| eval_loss | 0.1613253802061081|
| eval_recall | 0.941 |
| eval_precision | 0.9419519436781406 |


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transformers pytorch safetensors roberta text-classification sagemaker roberta-base text classification en dataset:emotion license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #roberta #text-classification #sagemaker #roberta-base #text classification #en #dataset-emotion #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 

roberta-base
------------


This model is a fine-tuned model that was trained using Amazon SageMaker and the new Hugging Face Deep Learning container.


* Problem type: Multi Class Text Classification (emotion detection).


It achieves the following results on the evaluation set:


* Loss: 0.1613253802061081
* f1: 0.9413321705151999


Hyperparameters
---------------


Validation Metrics
------------------




TAGS
#transformers #pytorch #safetensors #roberta #text-classification #sagemaker #roberta-base #text classification #en #dataset-emotion #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #safetensors #roberta #text-classification #sagemaker #roberta-base #text classification #en #dataset-emotion #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 
