

# Model

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an [KUAKE-QIC](https://github.com/CBLUEbenchmark/CBLUE).

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 216
- num_epochs: 5

### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.1+cu117
- Tokenizers 0.13.2
{"language": ["en"], "license": "mit", "tags": ["generated_from_trainer", "medical"], "metrics": ["accuracy"], "widget": [{"text": "I have a cyst in the corner of my right eye and it grows bigger and bigger."}], "model-index": [{"name": "roberta-base-qic", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer medical en license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #text-classification #generated_from_trainer #medical #en #license-mit #autotrain_compatible #endpoints_compatible #region-us 



# Model

This model is a fine-tuned version of roberta-base on an KUAKE-QIC.

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 216
- num_epochs: 5

### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.1+cu117
- Tokenizers 0.13.2
# Model

This model is a fine-tuned version of roberta-base on an KUAKE-QIC. ### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 216
- num_epochs: 5 ### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.1+cu117
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #roberta #text-classification #generated_from_trainer #medical #en #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 # Model

This model is a fine-tuned version of roberta-base on an KUAKE-QIC. ### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 216
- num_epochs: 5 ### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.1+cu117
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #roberta #text-classification #generated_from_trainer #medical #en #license-mit #autotrain_compatible #endpoints_compatible #region-us 
# Model

This model is a fine-tuned version of roberta-base on an KUAKE-QIC.### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 216
- num_epochs: 5### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.1+cu117
- Tokenizers 0.13.2