End of training
Browse files- README.md +87 -0
- generation_config.json +5 -0
README.md
ADDED
|
@@ -0,0 +1,87 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
base_model: gpt2
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
model-index:
|
| 7 |
+
- name: midi_model_3
|
| 8 |
+
results: []
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 12 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 13 |
+
|
| 14 |
+
# midi_model_3
|
| 15 |
+
|
| 16 |
+
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
|
| 17 |
+
It achieves the following results on the evaluation set:
|
| 18 |
+
- Loss: 0.5542
|
| 19 |
+
|
| 20 |
+
## Model description
|
| 21 |
+
|
| 22 |
+
More information needed
|
| 23 |
+
|
| 24 |
+
## Intended uses & limitations
|
| 25 |
+
|
| 26 |
+
More information needed
|
| 27 |
+
|
| 28 |
+
## Training and evaluation data
|
| 29 |
+
|
| 30 |
+
More information needed
|
| 31 |
+
|
| 32 |
+
## Training procedure
|
| 33 |
+
|
| 34 |
+
### Training hyperparameters
|
| 35 |
+
|
| 36 |
+
The following hyperparameters were used during training:
|
| 37 |
+
- learning_rate: 0.0005
|
| 38 |
+
- train_batch_size: 4
|
| 39 |
+
- eval_batch_size: 2
|
| 40 |
+
- seed: 1
|
| 41 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 42 |
+
- lr_scheduler_type: cosine
|
| 43 |
+
- lr_scheduler_warmup_ratio: 0.01
|
| 44 |
+
- num_epochs: 10
|
| 45 |
+
|
| 46 |
+
### Training results
|
| 47 |
+
|
| 48 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 49 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
| 50 |
+
| 0.8047 | 0.33 | 300 | 0.7969 |
|
| 51 |
+
| 0.7924 | 0.66 | 600 | 0.7735 |
|
| 52 |
+
| 0.7758 | 1.0 | 900 | 0.7528 |
|
| 53 |
+
| 0.75 | 1.33 | 1200 | 0.7436 |
|
| 54 |
+
| 0.7432 | 1.66 | 1500 | 0.7277 |
|
| 55 |
+
| 0.7361 | 1.99 | 1800 | 0.7175 |
|
| 56 |
+
| 0.7121 | 2.32 | 2100 | 0.7025 |
|
| 57 |
+
| 0.708 | 2.65 | 2400 | 0.6861 |
|
| 58 |
+
| 0.6971 | 2.99 | 2700 | 0.6781 |
|
| 59 |
+
| 0.6777 | 3.32 | 3000 | 0.6718 |
|
| 60 |
+
| 0.6733 | 3.65 | 3300 | 0.6578 |
|
| 61 |
+
| 0.6643 | 3.98 | 3600 | 0.6500 |
|
| 62 |
+
| 0.6422 | 4.31 | 3900 | 0.6423 |
|
| 63 |
+
| 0.6401 | 4.65 | 4200 | 0.6330 |
|
| 64 |
+
| 0.6302 | 4.98 | 4500 | 0.6228 |
|
| 65 |
+
| 0.6103 | 5.31 | 4800 | 0.6148 |
|
| 66 |
+
| 0.6066 | 5.64 | 5100 | 0.6069 |
|
| 67 |
+
| 0.5995 | 5.97 | 5400 | 0.5979 |
|
| 68 |
+
| 0.5724 | 6.31 | 5700 | 0.5915 |
|
| 69 |
+
| 0.5772 | 6.64 | 6000 | 0.5870 |
|
| 70 |
+
| 0.5677 | 6.97 | 6300 | 0.5771 |
|
| 71 |
+
| 0.5491 | 7.3 | 6600 | 0.5740 |
|
| 72 |
+
| 0.5433 | 7.63 | 6900 | 0.5675 |
|
| 73 |
+
| 0.5384 | 7.96 | 7200 | 0.5630 |
|
| 74 |
+
| 0.5245 | 8.3 | 7500 | 0.5611 |
|
| 75 |
+
| 0.5206 | 8.63 | 7800 | 0.5578 |
|
| 76 |
+
| 0.5198 | 8.96 | 8100 | 0.5553 |
|
| 77 |
+
| 0.5141 | 9.29 | 8400 | 0.5544 |
|
| 78 |
+
| 0.5091 | 9.62 | 8700 | 0.5543 |
|
| 79 |
+
| 0.5096 | 9.96 | 9000 | 0.5542 |
|
| 80 |
+
|
| 81 |
+
|
| 82 |
+
### Framework versions
|
| 83 |
+
|
| 84 |
+
- Transformers 4.35.2
|
| 85 |
+
- Pytorch 2.1.0+cu118
|
| 86 |
+
- Datasets 2.15.0
|
| 87 |
+
- Tokenizers 0.15.0
|
generation_config.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"pad_token_id": 3,
|
| 4 |
+
"transformers_version": "4.35.2"
|
| 5 |
+
}
|