README.md

metadata

license: apache-2.0
base_model: t5-small
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: t5-small-finetuned-SLM-slp
    results: []

t5-small-finetuned-SLM-slp

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3216
• Rouge1: 0.0
• Rouge2: 0.0
• Rougel: 0.0
• Rougelsum: 0.0
• Gen Len: 0.0

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: 2e-05
• 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: 40
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	18	1.3069	0.0	0.0	0.0	0.0	0.0
No log	2.0	36	0.9637	0.0	0.0	0.0	0.0	0.0
No log	3.0	54	0.8700	0.0	0.0	0.0	0.0	0.0
No log	4.0	72	0.8496	0.0	0.0	0.0	0.0	0.0
No log	5.0	90	0.8265	0.0	0.0	0.0	0.0	0.0
No log	6.0	108	0.7646	0.0	0.0	0.0	0.0	0.0
No log	7.0	126	0.7115	0.0	0.0	0.0	0.0	0.0
No log	8.0	144	0.6772	0.0	0.0	0.0	0.0	0.0
No log	9.0	162	0.6396	0.0	0.0	0.0	0.0	0.0
No log	10.0	180	0.6141	0.0	0.0	0.0	0.0	0.0
No log	11.0	198	0.5893	0.0	0.0	0.0	0.0	0.0
No log	12.0	216	0.5606	0.0	0.0	0.0	0.0	0.0
No log	13.0	234	0.5402	0.0	0.0	0.0	0.0	0.0
No log	14.0	252	0.5238	0.0	0.0	0.0	0.0	0.0
No log	15.0	270	0.5037	0.0	0.0	0.0	0.0	0.0
No log	16.0	288	0.4876	0.0	0.0	0.0	0.0	0.0
No log	17.0	306	0.4726	0.0	0.0	0.0	0.0	0.0
No log	18.0	324	0.4586	0.0	0.0	0.0	0.0	0.0
No log	19.0	342	0.4458	0.0	0.0	0.0	0.0	0.0
No log	20.0	360	0.4337	0.0	0.0	0.0	0.0	0.0
No log	21.0	378	0.4201	0.0	0.0	0.0	0.0	0.0
No log	22.0	396	0.4115	0.0	0.0	0.0	0.0	0.0
No log	23.0	414	0.4016	0.0	0.0	0.0	0.0	0.0
No log	24.0	432	0.3860	0.0	0.0	0.0	0.0	0.0
No log	25.0	450	0.3783	0.0	0.0	0.0	0.0	0.0
No log	26.0	468	0.3731	0.0	0.0	0.0	0.0	0.0
No log	27.0	486	0.3657	0.0	0.0	0.0	0.0	0.0
0.9036	28.0	504	0.3559	0.0	0.0	0.0	0.0	0.0
0.9036	29.0	522	0.3504	0.0	0.0	0.0	0.0	0.0
0.9036	30.0	540	0.3474	0.0	0.0	0.0	0.0	0.0
0.9036	31.0	558	0.3439	0.0	0.0	0.0	0.0	0.0
0.9036	32.0	576	0.3402	0.0	0.0	0.0	0.0	0.0
0.9036	33.0	594	0.3345	0.0	0.0	0.0	0.0	0.0
0.9036	34.0	612	0.3316	0.0	0.0	0.0	0.0	0.0
0.9036	35.0	630	0.3303	0.0	0.0	0.0	0.0	0.0
0.9036	36.0	648	0.3270	0.0	0.0	0.0	0.0	0.0
0.9036	37.0	666	0.3249	0.0	0.0	0.0	0.0	0.0
0.9036	38.0	684	0.3231	0.0	0.0	0.0	0.0	0.0
0.9036	39.0	702	0.3220	0.0	0.0	0.0	0.0	0.0
0.9036	40.0	720	0.3216	0.0	0.0	0.0	0.0	0.0

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1