Downloads · 30 days
6
24% of all-time downloads
boychaboy_MNLI_roberta-base-finetuned-lora-tweet_eval_irony
TransferGraph/boychaboy_MNLI_roberta-base-finetuned-lora-tweet_eval_irony
boychaboy_MNLI_roberta-base-finetuned-lora-tweet_eval_irony is a text classification model from TransferGraph. Use it when you need a label for a piece of text. It is set up for peft.
should probably proofread and complete it, then remove this comment. --
All-time downloads
25
Public
Repo size
5 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.json2.9 MB · 49%
At a glance
- Task
- Text Classification
- Library
- peft
- Access
- Public
- Created
- Feb 27, 2024
- Updated
- Feb 29, 2024
- SHA
- 59b25b7c
Try a prompt
Base models
Datasets
Model card
From the Hugging Face model README
<!-- 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. -->
boychaboy_MNLI_roberta-base-finetuned-lora-tweet_eval_irony
This model is a fine-tuned version of boychaboy/MNLI_roberta-base on the tweet_eval dataset. It achieves the following results on the evaluation set:
- accuracy: 0.7497
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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| accuracy | train_loss | epoch |
|---|---|---|
| 0.5236 | None | 0 |
| 0.6848 | 0.6722 | 0 |
| 0.6796 | 0.6006 | 1 |
| 0.7194 | 0.5452 | 2 |
| 0.7319 | 0.5221 | 3 |
| 0.7424 | 0.4951 | 4 |
| 0.7361 | 0.4660 | 5 |
| 0.7497 | 0.4600 | 6 |
| 0.7497 | 0.4570 | 7 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 2.16.1
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- peft
- Created
- Feb 27, 2024
- Updated
- Feb 29, 2024