File size: 1,617 Bytes
294c6be 1fb09ac 294c6be 1fb09ac |
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 |
---
license: mit
base_model: alayaran/bodo-gpt2-clm-setencepiece
tags:
- generated_from_trainer
datasets:
- alayaran/bodo-monolingual-dataset
metrics:
- accuracy
model-index:
- name: bodo-gpt2-clm-setencepiece
results:
- task:
name: Causal Language Modeling
type: text-generation
dataset:
name: alayaran/bodo-monolingual-dataset
type: alayaran/bodo-monolingual-dataset
metrics:
- name: Accuracy
type: accuracy
value: 0.023990075482247693
---
<!-- 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. -->
# bodo-gpt2-clm-setencepiece
This model is a fine-tuned version of [alayaran/bodo-gpt2-clm-setencepiece](https://huggingface.co/alayaran/bodo-gpt2-clm-setencepiece) on the alayaran/bodo-monolingual-dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 8.4768
- Accuracy: 0.0240
## 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: 0.005
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 20.0
### Training results
### Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
|