autoevaluator
HF staff
Add evaluation results on the default config and train split of aslg_pc12
e55bda6
metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- aslg_pc12
metrics:
- bertscore
- bleu
- comet
- rouge
base_model: t5-small
pipeline_tag: translation
model-index:
- name: t5_small_aslg_pc12
results:
- task:
type: translation
name: Translation
dataset:
name: aslg_pc12
type: aslg_pc12
config: default
split: train
metrics:
- type: bleu
value: 73.8405
name: BLEU
verified: true
verifyToken: >-
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- type: loss
value: 0.2336091846227646
name: loss
verified: true
verifyToken: >-
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- type: gen_len
value: 15.4908
name: gen_len
verified: true
verifyToken: >-
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t5_small_aslg_pc12
This model is a fine-tuned version of t5-small on the aslg_pc12 dataset.
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: 3.0
Training results
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1