File size: 1,571 Bytes
4909c6d 2b8ef3b 4909c6d 2b8ef3b 4909c6d 2b8ef3b 4909c6d 2b8ef3b 4909c6d b6bb02f 4909c6d b6bb02f 4909c6d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 |
---
language:
- en
base_model: EleutherAI/pile-t5-base
tags:
- generated_from_trainer
datasets:
- juraj-juraj/python-docstring-human-gpt-generated-mix
metrics:
- bleu
model-index:
- name: pile_t5_base_docstring
results:
- task:
name: Translation
type: translation
dataset:
name: juraj-juraj/python-docstring-human-gpt-generated-mix
type: juraj-juraj/python-docstring-human-gpt-generated-mix
metrics:
- name: Bleu
type: bleu
value: 0.0
---
<!-- 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. -->
# pile_t5_base_docstring
This model is a fine-tuned version of [EleutherAI/pile-t5-base](https://huggingface.co/EleutherAI/pile-t5-base) on the juraj-juraj/python-docstring-human-gpt-generated-mix dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Bleu: 0.0
- Gen Len: 256.0
## 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: 1e-05
- train_batch_size: 15
- eval_batch_size: 15
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
### Framework versions
- Transformers 4.39.2
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|