autoevaluator
HF staff
Add evaluation results on the default config and train split of aslg_pc12
361b982
license: apache-2.0 | |
tags: | |
- generated_from_trainer | |
datasets: | |
- aslg_pc12 | |
metrics: | |
- bleu | |
- sacrebleu | |
- bertscore | |
base_model: t5-small | |
pipeline_tag: translation | |
model-index: | |
- name: t5_small_gloss_merged_dataset_adj_adv | |
results: | |
- task: | |
type: translation | |
name: Translation | |
dataset: | |
name: aslg_pc12 | |
type: aslg_pc12 | |
config: default | |
split: train | |
metrics: | |
- type: bleu | |
value: 68.5164 | |
name: BLEU | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMGQ1ODlhZmY5N2I1MGYzN2MxY2YyOGQ3ODQyZmY5NTc0ZjFhNzE5NmI2OWJhYWM2ZmZhM2JkY2M5OGIyYzhjMyIsInZlcnNpb24iOjF9.PERo2wMlxYXury7dT-9GOW_FPDlwN2aJSpvvEe122D4dWeRekfb8OqCxT-5xm9M6jXs_-UZQIcvOlSXuSS1YDA | |
- type: loss | |
value: 0.33915433287620544 | |
name: loss | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTRiNmFlZTU1YjE0ZWJiYzQ2MjljZDBmODg1Nzg0MDQyM2Y3ZTJlMWFlMTcyZjYzZTBhNzY1ZjBiYjIxZTIyMSIsInZlcnNpb24iOjF9.YO6wVCBAhvDA1EeuoAUJLLLg3AIkrFhCGw4E8uqHzRXKIZQOvgeEUoUP5LXfq5vuzMmb93bhXoIxvdfNhKkbAw | |
- type: gen_len | |
value: 15.5783 | |
name: gen_len | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDViZTE5NmY2OWJjNDFjOTRkZDQwOGZmMmY1OGQzOTU0OWI5Y2RjMGMyYzQ5MDVlYTZjZWU1ZGI2NmI2NTBjYyIsInZlcnNpb24iOjF9.K4k2lCYC4jIa-zm7lWf9tymABXu6VrJrHP9HVIjHDcgY0DLiAI_IdiByWFLtYC1cyppL98BG_9SYs5RkJvi7Ag | |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
should probably proofread and complete it, then remove this comment. --> | |
# t5_small_gloss_merged_dataset_adj_adv | |
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown 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 |