metadata
license: apache-2.0
base_model: google/long-t5-tglobal-large
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: LongT5-Large-NSPCC
results: []
LongT5-Large-NSPCC
This model is a fine-tuned version of google/long-t5-tglobal-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5481
- Rouge1: 0.4597
- Rouge2: 0.1665
- Rougel: 0.2562
- Rougelsum: 0.2557
- Gen Len: 250.6383
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: 0.0003
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 6.0521 | 1.0 | 188 | 2.8154 | 0.2268 | 0.0411 | 0.1627 | 0.1626 | 145.7447 |
| 2.5796 | 2.0 | 377 | 1.9961 | 0.3798 | 0.1115 | 0.2103 | 0.2101 | 220.234 |
| 2.0398 | 3.0 | 566 | 1.7703 | 0.4208 | 0.1319 | 0.2255 | 0.2258 | 299.6915 |
| 1.7329 | 4.0 | 755 | 1.5996 | 0.4427 | 0.1488 | 0.2423 | 0.2424 | 255.2553 |
| 1.5609 | 5.0 | 943 | 1.5510 | 0.4688 | 0.1726 | 0.2578 | 0.2576 | 289.2979 |
| 1.4733 | 5.98 | 1128 | 1.5481 | 0.4597 | 0.1665 | 0.2562 | 0.2557 | 250.6383 |
Framework versions
- Transformers 4.39.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2