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---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- aslg_pc12
metrics:
- bertscore
- bleu
- sacrebleu
- comet
- rouge
base_model: t5-small
pipeline_tag: translation
model-index:
- name: t5_small_gloss_to_text_random_0.1
results:
- task:
type: translation
name: Translation
dataset:
name: aslg_pc12
type: aslg_pc12
config: default
split: train
metrics:
- type: bleu
value: 68.0647
name: BLEU
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNGMyZWQwN2ViODJmYTNiYmU1OGFkOGE3ZmZmNjQ5NmNjYzkyNTdiNzU3MmMxYTZiZWI5NTAzODVkYzExZjg2ZiIsInZlcnNpb24iOjF9.AZIXTYArPjmwjhIXLsfacpOmIihJL2RqAvmXjLGalFu6Iqx5i46aNSPZ2Tn0zNN0TqRgjt_KTcpN_MiAV6h1Aw
- type: loss
value: 0.3523485064506531
name: loss
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiN2IxYWQ0NzhiY2JkNzhmMjYyYWRkYTVmODMyNWQ3OGVjNDQyNzNlN2Y3NTFhN2VmMTE5NTE2MWZjYmUxOGZjNyIsInZlcnNpb24iOjF9.1Chr1YqnkViAAyKXpMBe3eZsq16xaudA1v989DUNpYwMENGksv3DRJlUQSgL_xvWDqHRS8ioeNbMW5AHdYtSBA
- type: gen_len
value: 15.6202
name: gen_len
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDQ3ZDNlMDNiY2YzOTRlZWJhMmIxMGE4MmIzMDE2MjdhN2Q2ZTQwOGZkMWZiM2RjNGMwMGZiN2VkNmZmNDk1YiIsInZlcnNpb24iOjF9.a3wE9wToecpWMdf5QxgSRYuhqEzHBu86XhYNy-1NUKwi6bDH_uLfG-48Q-Fcss8w4QhLro5ObGA69nxkZQw7Ag
---
<!-- 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_to_text_random_0.1
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 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1 |