metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-ocp-chat
results: []
flan-t5-small-ocp-chat
This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6956
- Rouge1: 71.3805
- Rouge2: 0.0
- Rougel: 71.3805
- Rougelsum: 72.2222
- 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: 5e-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
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 9 | 0.8045 | 71.3805 | 0.0 | 71.3805 | 72.2222 | 19.0 |
| No log | 2.0 | 18 | 0.7547 | 65.8249 | 0.0 | 66.6667 | 66.6667 | 19.0 |
| No log | 3.0 | 27 | 0.7110 | 71.3805 | 0.0 | 71.3805 | 72.2222 | 19.0 |
| No log | 4.0 | 36 | 0.6956 | 71.3805 | 0.0 | 71.3805 | 72.2222 | 19.0 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3