|
--- |
|
base_model: cardiffnlp/twitter-xlm-roberta-base-sentiment |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- recall |
|
- precision |
|
model-index: |
|
- name: roberta-base-fine-tuned-flipkart-reviews-am |
|
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. --> |
|
|
|
# roberta-base-fine-tuned-flipkart-reviews-am |
|
|
|
This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1412 |
|
- Recall: 0.9667 |
|
- Precision: 0.9667 |
|
|
|
## 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: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 64 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 1 |
|
|
|
### Training results |
|
|
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.39.0 |
|
- Pytorch 2.2.1+cu121 |
|
- Tokenizers 0.15.2 |
|
|
