End of training
Browse files- README.md +26 -26
- pytorch_model.bin +1 -1
- trainer_state.json +725 -725
- training_args.bin +1 -1
README.md
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@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [alexue4/text-normalization-ru-new](https://huggingface.co/alexue4/text-normalization-ru-new) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Mean Distance: 0
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- Max Distance:
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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### Training results
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| Training Loss | Epoch | Step
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| 0.0006 | 9.0 |
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| 0.0004 | 12.0 |
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| 0.0004 | 13.0 |
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| 0.0005 | 14.0 |
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| 0.0004 | 15.0 |
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| 0.0004 | 16.0 |
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| 0.0004 | 17.0 |
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| 0.0004 | 18.0 |
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| 0.0004 | 19.0 |
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| 0.0004 | 20.0 |
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### Framework versions
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|
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15 |
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This model is a fine-tuned version of [alexue4/text-normalization-ru-new](https://huggingface.co/alexue4/text-normalization-ru-new) on an unknown dataset.
|
17 |
It achieves the following results on the evaluation set:
|
18 |
+
- Loss: 0.0005
|
19 |
- Mean Distance: 0
|
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+
- Max Distance: 3
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 15
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+
- eval_batch_size: 15
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Mean Distance | Max Distance |
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|:-------------:|:-----:|:------:|:---------------:|:-------------:|:------------:|
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| 0.0017 | 1.0 | 7406 | 0.0003 | 0 | 3 |
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| 0.0011 | 2.0 | 14812 | 0.0004 | 0 | 3 |
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| 0.0012 | 3.0 | 22218 | 0.0007 | 0 | 3 |
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| 0.0008 | 4.0 | 29624 | 0.0006 | 0 | 3 |
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| 0.0009 | 5.0 | 37030 | 0.0006 | 0 | 3 |
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| 0.0007 | 6.0 | 44436 | 0.0004 | 0 | 3 |
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| 0.0007 | 7.0 | 51842 | 0.0004 | 0 | 3 |
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| 0.0008 | 8.0 | 59248 | 0.0004 | 0 | 3 |
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| 0.0006 | 9.0 | 66654 | 0.0005 | 0 | 3 |
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| 0.0007 | 10.0 | 74060 | 0.0007 | 0 | 3 |
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| 0.0006 | 11.0 | 81466 | 0.0005 | 0 | 3 |
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| 0.0004 | 12.0 | 88872 | 0.0005 | 0 | 3 |
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| 0.0004 | 13.0 | 96278 | 0.0005 | 0 | 3 |
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| 0.0005 | 14.0 | 103684 | 0.0005 | 0 | 3 |
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| 0.0004 | 15.0 | 111090 | 0.0004 | 0 | 3 |
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| 0.0004 | 16.0 | 118496 | 0.0004 | 0 | 3 |
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| 0.0004 | 17.0 | 125902 | 0.0004 | 0 | 3 |
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| 0.0004 | 18.0 | 133308 | 0.0005 | 0 | 3 |
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| 0.0004 | 19.0 | 140714 | 0.0005 | 0 | 3 |
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| 0.0004 | 20.0 | 148120 | 0.0005 | 0 | 3 |
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### Framework versions
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|
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|
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|
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"eval_samples_per_second": 17.096,
|
1408 |
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|
1409 |
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"step": 148120
|
1410 |
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|
1411 |
{
|
1412 |
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|
1413 |
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|
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|
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|
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|
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|
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|
1419 |
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|
1420 |
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|
1421 |
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|
1422 |
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|
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|
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|
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|
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|
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|
1428 |
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|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
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2 |
-
oid sha256:
|
3 |
size 4091
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:dd0180b605e61639e6b1a5bce9031c24bc680c8d4e3155bfd1a5996447821743
|
3 |
size 4091
|