End of training
Browse files- README.md +28 -68
- config.json +1 -1
- pytorch_model.bin +1 -1
- special_tokens_map.json +102 -0
- trainer_state.json +945 -1345
- training_args.bin +1 -1
README.md
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---
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license: mit
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base_model:
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tags:
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- generated_from_trainer
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model-index:
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# text-normalization-ru-new
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This model is a fine-tuned version of [
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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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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.
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- train_batch_size: 30
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- eval_batch_size: 30
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step
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| 0.007 | 21.0 | 70014 | 0.0309 | 0 | 13 |
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| 0.0066 | 22.0 | 73348 | 0.0306 | 0 | 11 |
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| 0.0056 | 23.0 | 76682 | 0.0287 | 0 | 10 |
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| 0.0053 | 24.0 | 80016 | 0.0312 | 0 | 12 |
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| 0.0049 | 25.0 | 83350 | 0.0276 | 0 | 11 |
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| 0.0053 | 26.0 | 86684 | 0.0308 | 0 | 10 |
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| 0.0041 | 27.0 | 90018 | 0.0279 | 0 | 10 |
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| 0.0041 | 28.0 | 93352 | 0.0292 | 0 | 11 |
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| 0.0037 | 29.0 | 96686 | 0.0306 | 0 | 11 |
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| 0.0035 | 30.0 | 100020 | 0.0272 | 0 | 12 |
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| 0.0032 | 31.0 | 103354 | 0.0255 | 0 | 9 |
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| 0.0031 | 32.0 | 106688 | 0.0293 | 0 | 10 |
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| 0.0029 | 33.0 | 110022 | 0.0300 | 0 | 13 |
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| 0.0026 | 34.0 | 113356 | 0.0305 | 0 | 11 |
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| 0.0024 | 35.0 | 116690 | 0.0273 | 0 | 9 |
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| 0.0023 | 36.0 | 120024 | 0.0284 | 0 | 10 |
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| 0.0022 | 37.0 | 123358 | 0.0313 | 0 | 13 |
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| 0.002 | 38.0 | 126692 | 0.0341 | 0 | 13 |
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| 0.0017 | 39.0 | 130026 | 0.0301 | 0 | 13 |
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| 0.0017 | 40.0 | 133360 | 0.0330 | 0 | 11 |
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| 0.0016 | 41.0 | 136694 | 0.0344 | 0 | 11 |
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| 0.0014 | 42.0 | 140028 | 0.0337 | 0 | 10 |
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| 0.0013 | 43.0 | 143362 | 0.0292 | 0 | 12 |
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| 0.0012 | 44.0 | 146696 | 0.0339 | 0 | 11 |
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| 0.0012 | 45.0 | 150030 | 0.0330 | 0 | 11 |
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| 0.001 | 46.0 | 153364 | 0.0307 | 0 | 11 |
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| 0.001 | 47.0 | 156698 | 0.0330 | 0 | 10 |
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| 0.0009 | 48.0 | 160032 | 0.0338 | 0 | 11 |
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| 0.0009 | 49.0 | 163366 | 0.0288 | 0 | 10 |
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| 0.0008 | 50.0 | 166700 | 0.0256 | 0 | 10 |
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| 0.0007 | 51.0 | 170034 | 0.0284 | 0 | 11 |
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| 0.0006 | 52.0 | 173368 | 0.0342 | 0 | 10 |
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| 0.0006 | 53.0 | 176702 | 0.0312 | 0 | 10 |
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| 0.0005 | 54.0 | 180036 | 0.0326 | 0 | 10 |
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| 0.0005 | 55.0 | 183370 | 0.0304 | 0 | 11 |
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| 0.0005 | 56.0 | 186704 | 0.0300 | 0 | 11 |
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| 0.0004 | 57.0 | 190038 | 0.0313 | 0 | 11 |
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| 0.0003 | 58.0 | 193372 | 0.0321 | 0 | 11 |
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| 0.0003 | 59.0 | 196706 | 0.0316 | 0 | 10 |
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| 0.0004 | 60.0 | 200040 | 0.0318 | 0 | 11 |
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### Framework versions
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---
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license: mit
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+
base_model: alexue4/text-normalization-ru-new
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tags:
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- generated_from_trainer
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model-index:
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# text-normalization-ru-new
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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: 0.0007
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- Mean Distance: 0
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- Max Distance: 3
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## Model description
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### Training hyperparameters
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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: 30
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- eval_batch_size: 30
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 20
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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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| 0.0028 | 1.0 | 3443 | 0.0015 | 0 | 3 |
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| 0.0019 | 2.0 | 6886 | 0.0009 | 0 | 3 |
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| 0.0016 | 3.0 | 10329 | 0.0013 | 0 | 3 |
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| 0.0013 | 4.0 | 13772 | 0.0008 | 0 | 1 |
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| 0.0012 | 5.0 | 17215 | 0.0011 | 0 | 3 |
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| 0.0009 | 6.0 | 20658 | 0.0009 | 0 | 3 |
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| 0.0008 | 7.0 | 24101 | 0.0011 | 0 | 3 |
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| 0.0007 | 8.0 | 27544 | 0.0010 | 0 | 3 |
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| 0.0006 | 9.0 | 30987 | 0.0012 | 0 | 3 |
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| 0.0006 | 10.0 | 34430 | 0.0008 | 0 | 3 |
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| 0.0006 | 11.0 | 37873 | 0.0005 | 0 | 0 |
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| 0.0005 | 12.0 | 41316 | 0.0007 | 0 | 1 |
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| 0.0004 | 13.0 | 44759 | 0.0007 | 0 | 0 |
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| 0.0006 | 14.0 | 48202 | 0.0011 | 0 | 3 |
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| 0.0005 | 15.0 | 51645 | 0.0008 | 0 | 3 |
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| 0.0005 | 16.0 | 55088 | 0.0008 | 0 | 3 |
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| 0.0005 | 17.0 | 58531 | 0.0008 | 0 | 3 |
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| 0.0004 | 18.0 | 61974 | 0.0007 | 0 | 3 |
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| 0.0004 | 19.0 | 65417 | 0.0007 | 0 | 3 |
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| 0.0005 | 20.0 | 68860 | 0.0007 | 0 | 3 |
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### Framework versions
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config.json
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{
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"_name_or_path": "
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"architectures": [
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"T5ForConditionalGeneration"
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],
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{
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"_name_or_path": "alexue4/text-normalization-ru-new",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 258643461
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version https://git-lfs.github.com/spec/v1
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oid sha256:426d8940304254b400c7865e3f92b2ed60ec87d2cec52df3644476d19c0451e2
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size 258643461
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special_tokens_map.json
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"unk_token": "<unk>"
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"eos_token": "</s>",
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trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch":
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"eval_steps": 500,
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"global_step":
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 0.0,
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"loss":
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"step": 1
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