metadata
library_name: transformers
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: reverse_transcript_conv
results: []
reverse_transcript_conv
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2532
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: 0.0001
- 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: reduce_lr_on_plateau
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.6781 | 0.0254 | 1000 | 4.4922 |
| 4.3077 | 0.0508 | 2000 | 4.1938 |
| 4.112 | 0.0762 | 3000 | 4.0437 |
| 4.0246 | 0.1016 | 4000 | 3.9360 |
| 3.9453 | 0.1270 | 5000 | 3.8491 |
| 3.8408 | 0.1524 | 6000 | 3.8078 |
| 3.8155 | 0.1778 | 7000 | 3.7247 |
| 3.7213 | 0.2032 | 8000 | 3.6968 |
| 3.7151 | 0.2286 | 9000 | 3.6513 |
| 3.7075 | 0.2540 | 10000 | 3.6007 |
| 3.5585 | 0.2794 | 11000 | 3.5847 |
| 3.6149 | 0.3047 | 12000 | 3.5467 |
| 3.5912 | 0.3301 | 13000 | 3.5183 |
| 3.4807 | 0.3555 | 14000 | 3.4998 |
| 3.5226 | 0.3809 | 15000 | 3.4750 |
| 3.498 | 0.4063 | 16000 | 3.4569 |
| 3.4416 | 0.4317 | 17000 | 3.4453 |
| 3.4828 | 0.4571 | 18000 | 3.4140 |
| 3.3674 | 0.4825 | 19000 | 3.4138 |
| 3.4523 | 0.5079 | 20000 | 3.3858 |
| 3.4875 | 0.5333 | 21000 | 3.3705 |
| 3.2789 | 0.5587 | 22000 | 3.3777 |
| 3.3742 | 0.5841 | 23000 | 3.3513 |
| 3.3978 | 0.6095 | 24000 | 3.3461 |
| 3.2839 | 0.6349 | 25000 | 3.3452 |
| 3.3467 | 0.6603 | 26000 | 3.3287 |
| 3.3192 | 0.6857 | 27000 | 3.3149 |
| 3.3158 | 0.7111 | 28000 | 3.3185 |
| 3.3437 | 0.7365 | 29000 | 3.2969 |
| 3.217 | 0.7619 | 30000 | 3.3135 |
| 3.2955 | 0.7873 | 31000 | 3.2879 |
| 3.3673 | 0.8127 | 32000 | 3.2781 |
| 3.166 | 0.8381 | 33000 | 3.2869 |
| 3.2655 | 0.8634 | 34000 | 3.2728 |
| 3.3123 | 0.8888 | 35000 | 3.2662 |
| 3.1935 | 0.9142 | 36000 | 3.2696 |
| 3.2581 | 0.9396 | 37000 | 3.2558 |
| 3.2193 | 0.9650 | 38000 | 3.2571 |
| 3.2243 | 0.9904 | 39000 | 3.2532 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1