my_cust_events_model
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9138
- Rouge1: 0.0709
- Rouge2: 0.0164
- Rougel: 0.0599
- Rougelsum: 0.06
- Gen Len: 19.0
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 24 | 3.4693 | 0.0661 | 0.0194 | 0.0578 | 0.0577 | 19.0 |
| No log | 2.0 | 48 | 3.1028 | 0.0707 | 0.0186 | 0.0622 | 0.0626 | 19.0 |
| No log | 3.0 | 72 | 2.9566 | 0.0712 | 0.0164 | 0.0601 | 0.0601 | 19.0 |
| No log | 4.0 | 96 | 2.9138 | 0.0709 | 0.0164 | 0.0599 | 0.06 | 19.0 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Downloads last month
- 2
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.