README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: t5-base-DreamBank-Generation-Act-Char
    results: []

t5-base-DreamBank-Generation-Act-Char

This model is a fine-tuned version of DReAMy-lib/t5-base-DreamBank-Generation-NER-Char on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2627
• Rouge1: 0.4751
• Rouge2: 0.3939
• Rougel: 0.4564
• Rougelsum: 0.4549

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: 0.001
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	49	0.4061	0.3684	0.2537	0.3495	0.3484
No log	2.0	98	0.3563	0.4151	0.3185	0.4043	0.4030
No log	3.0	147	0.3005	0.4456	0.3588	0.4294	0.4281
No log	4.0	196	0.2693	0.4743	0.3903	0.4586	0.4574
No log	5.0	245	0.2627	0.4751	0.3939	0.4564	0.4549
No log	6.0	294	0.2739	0.4744	0.3920	0.4612	0.4596
No log	7.0	343	0.2733	0.4702	0.3940	0.4557	0.4549
No log	8.0	392	0.2861	0.4739	0.3950	0.4614	0.4608
No log	9.0	441	0.3115	0.4645	0.3868	0.4524	0.4517
No log	10.0	490	0.3212	0.4655	0.3886	0.4524	0.4518

Framework versions

• Transformers 4.25.1
• Pytorch 1.12.1
• Datasets 2.5.1
• Tokenizers 0.12.1