RoBERta_512tokens_gossip
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3585
- Accuracy: 0.9145
- F1: 0.9115
- Precision: 0.9092
- Recall: 0.9145
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: 5e-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
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
---|---|---|---|---|---|---|---|
0.2977 | 1.0 | 199 | 0.2461 | 0.9082 | 0.8749 | 0.8904 | 0.9082 |
0.3629 | 2.0 | 398 | 0.2453 | 0.9101 | 0.8752 | 0.9062 | 0.9101 |
0.1475 | 3.0 | 597 | 0.2237 | 0.9182 | 0.9120 | 0.9090 | 0.9182 |
0.0985 | 4.0 | 796 | 0.3167 | 0.9220 | 0.9080 | 0.9106 | 0.9220 |
0.0585 | 5.0 | 995 | 0.3585 | 0.9145 | 0.9115 | 0.9092 | 0.9145 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
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Model tree for umangsharmacs/RoBERta_512tokens_gossip
Base model
FacebookAI/roberta-base