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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-emailgen-V2-emailgen_DS-multi-clean-100k_Ep-4_Bs-16
results: []
---
<!-- 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. -->
# distilgpt2-emailgen-V2-emailgen_DS-multi-clean-100k_Ep-4_Bs-16
This model is a fine-tuned version of [postbot/distilgpt2-emailgen-V2](https://huggingface.co/postbot/distilgpt2-emailgen-V2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9126
## 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: 0.0006
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9045 | 1.0 | 789 | 2.0006 |
| 1.8115 | 2.0 | 1578 | 1.9557 |
| 1.8501 | 3.0 | 2367 | 1.9110 |
| 1.7376 | 4.0 | 3156 | 1.9126 |
### Framework versions
- Transformers 4.22.2
- Pytorch 1.10.0+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
|