README.md

metadata

license: apache-2.0
base_model: google/flan-t5-base
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: AI_Chaperone
    results: []

AI_Chaperone

This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.7199
• Rouge1: 0.5828
• Rouge2: 0.2796
• Rougel: 0.5828
• Rougelsum: 0.5828

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: 8
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	2	12.8104	0.0	0.0	0.0	0.0
No log	2.0	4	7.4162	0.0	0.0	0.0	0.0
No log	3.0	6	4.6275	0.0	0.0	0.0	0.0
No log	4.0	8	4.2136	0.0	0.0	0.0	0.0
No log	5.0	10	3.7987	0.0	0.0	0.0	0.0
No log	6.0	12	3.4665	0.0513	0.0	0.0256	0.0513
No log	7.0	14	3.1709	0.1846	0.0	0.1590	0.1846
No log	8.0	16	2.8300	0.1846	0.0	0.1590	0.1846
No log	9.0	18	2.5395	0.3513	0.0	0.3256	0.3513
No log	10.0	20	2.3414	0.3256	0.0	0.3256	0.3256
No log	11.0	22	2.1369	0.3256	0.0	0.3256	0.3256
No log	12.0	24	1.9783	0.3256	0.0	0.3256	0.3256
No log	13.0	26	1.7889	0.3256	0.0	0.3256	0.3256
No log	14.0	28	1.5654	0.3513	0.0	0.3256	0.3513
No log	15.0	30	1.3210	0.3317	0.0	0.3317	0.3317
No log	16.0	32	1.0739	0.5828	0.2796	0.5828	0.5828
No log	17.0	34	0.8915	0.5828	0.2796	0.5828	0.5828
No log	18.0	36	0.7844	0.5828	0.2796	0.5828	0.5828
No log	19.0	38	0.7356	0.5828	0.2796	0.5828	0.5828
No log	20.0	40	0.7199	0.5828	0.2796	0.5828	0.5828

Framework versions

• Transformers 4.33.2
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3