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---
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_gloss_merged_dataset
results:
- task:
type: translation
name: Translation
dataset:
name: aslg_pc12
type: aslg_pc12
config: default
split: train
metrics:
- type: bleu
value: 68.9182
name: BLEU
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWZiYmFkMDNmMTFhMmU2MzAxYTEzMWQ3NmRiNGRjNzI2OTg2NjMxNTcxYjRkOTg0M2E4MzkzNDU4MjZiNTI3OSIsInZlcnNpb24iOjF9.GHJA10A5JW8Y4nCy9w46YQZGuh6BXnHLEWC-_Y5Vb1EfHcXBt7aQr2gArDcfrW-epJSXpiDk-A8DpNnG0HSSAQ
- type: loss
value: 0.33368241786956787
name: loss
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZThjOTg3ZmRmZjVhMGM2ZjY0ZGRhYjc4ZGQ1NTFlZWU4YTkzZjJiMGYwMGEzYjY3ZTVhYTNmMzczZmFhYjIyZCIsInZlcnNpb24iOjF9.Da4BqQhCXMhubGfPVbqPZzZU3Y-FByXA6mgy0u31u_SsqKSnGqS-C0TIF81wdpVUBYciu3BboqpefDtC5HYrBg
- type: gen_len
value: 15.6225
name: gen_len
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTBkZWU4MzdhMjY0N2ViZTkwMjM5NmZlYTJkYzk4YTk3ODk3ODRlOTE0NjdmMmQzMjBhYmVjODU3N2E5YTNiYyIsInZlcnNpb24iOjF9.jVgLJiZJR66wWio2V3aCKp-L_LkOF14VV1XxCLb79GWU3CJZucMJorA6mmofP9rOSqh92ZfkaFUJ_ScqjNHwCg
---
<!-- 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
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 |