metadata
base_model: ybelkada/flan-t5-xl-sharded-bf16
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-xl-gen4
results: []
flan-xl-gen4
This model is a fine-tuned version of ybelkada/flan-t5-xl-sharded-bf16 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6847
- Rouge1: 36.2186
- Rouge2: 27.5662
- Rougel: 32.6055
- Rougelsum: 32.8805
- Gen Len: 10.85
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
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 179 | 0.6847 | 36.2186 | 27.5662 | 32.6055 | 32.8805 | 10.85 |
| No log | 2.0 | 358 | 0.6847 | 36.2186 | 27.5662 | 32.6055 | 32.8805 | 10.85 |
| 0.7514 | 3.0 | 537 | 0.6847 | 36.2186 | 27.5662 | 32.6055 | 32.8805 | 10.85 |
| 0.7514 | 4.0 | 716 | 0.6847 | 36.2186 | 27.5662 | 32.6055 | 32.8805 | 10.85 |
| 0.7514 | 5.0 | 895 | 0.6847 | 36.2186 | 27.5662 | 32.6055 | 32.8805 | 10.85 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0