Transformers
PyTorch
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Ahmed007/Copilot_for_poors_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ahmed007/Copilot_for_poors_v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ahmed007/Copilot_for_poors_v2") model = AutoModelForSeq2SeqLM.from_pretrained("Ahmed007/Copilot_for_poors_v2") - Notebooks
- Google Colab
- Kaggle
Copilot_for_poors_v2
This model is a fine-tuned version of Ahmed007/Copilot_for_poors on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5072
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 14 | 1.5951 |
| No log | 2.0 | 28 | 1.5887 |
| No log | 3.0 | 42 | 1.5792 |
| No log | 4.0 | 56 | 1.5684 |
| No log | 5.0 | 70 | 1.5601 |
| No log | 6.0 | 84 | 1.5525 |
| No log | 7.0 | 98 | 1.5462 |
| No log | 8.0 | 112 | 1.5401 |
| No log | 9.0 | 126 | 1.5335 |
| No log | 10.0 | 140 | 1.5293 |
| No log | 11.0 | 154 | 1.5257 |
| No log | 12.0 | 168 | 1.5220 |
| No log | 13.0 | 182 | 1.5182 |
| No log | 14.0 | 196 | 1.5151 |
| No log | 15.0 | 210 | 1.5124 |
| No log | 16.0 | 224 | 1.5110 |
| No log | 17.0 | 238 | 1.5096 |
| No log | 18.0 | 252 | 1.5083 |
| No log | 19.0 | 266 | 1.5074 |
| No log | 20.0 | 280 | 1.5072 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
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