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Removed local loading of the model

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Files changed (9) hide show
  1. model/.gitattributes +0 -35
  2. model/README.md +0 -83
  3. model/added_tokens.json +0 -102
  4. model/config.json +0 -37
  5. model/generation_config.json +0 -10
  6. model/special_tokens_map.json +0 -109
  7. model/tokenizer_config.json +0 -951
  8. model/vocab.json +0 -0
  9. translation_model.py +2 -1
model/.gitattributes DELETED
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model/README.md DELETED
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- ---
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- library_name: transformers
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- license: mit
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- base_model: facebook/m2m100_418M
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- tags:
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- - generated_from_trainer
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- metrics:
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- - bleu
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- model-index:
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- - name: M2M101
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- results: []
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- ---
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-
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- <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- should probably proofread and complete it, then remove this comment. -->
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-
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- # M2M101
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-
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- This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.6766
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- - Bleu: 15.3416
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- - Meteor: 0.4723
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- - Gen Len: 28.0271
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-
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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-
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- More information needed
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-
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- ## Training procedure
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-
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- ### Training hyperparameters
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-
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- The following hyperparameters were used during training:
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- - learning_rate: 1e-05
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- - train_batch_size: 16
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- - eval_batch_size: 16
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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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- - num_epochs: 20
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- - mixed_precision_training: Native AMP
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | Bleu | Meteor | Gen Len |
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- |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|
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- | No log | 1.0 | 74 | 5.8261 | 1.1786 | 0.1997 | 36.3831 |
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- | No log | 2.0 | 148 | 4.6170 | 2.648 | 0.2657 | 37.6068 |
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- | No log | 3.0 | 222 | 3.5128 | 5.7069 | 0.3217 | 32.2169 |
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- | No log | 4.0 | 296 | 2.5281 | 6.3134 | 0.3547 | 31.8576 |
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- | No log | 5.0 | 370 | 1.7177 | 8.5036 | 0.38 | 29.9729 |
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- | No log | 6.0 | 444 | 1.1666 | 10.1169 | 0.3925 | 28.0678 |
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- | 3.5641 | 7.0 | 518 | 0.8702 | 10.4207 | 0.4246 | 31.1051 |
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- | 3.5641 | 8.0 | 592 | 0.7376 | 12.6153 | 0.431 | 28.6339 |
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- | 3.5641 | 9.0 | 666 | 0.6901 | 13.2966 | 0.4503 | 29.2373 |
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- | 3.5641 | 10.0 | 740 | 0.6713 | 11.9772 | 0.4396 | 30.5661 |
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- | 3.5641 | 11.0 | 814 | 0.6651 | 14.0436 | 0.4506 | 30.2 |
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- | 3.5641 | 12.0 | 888 | 0.6678 | 13.2632 | 0.4514 | 31.0542 |
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- | 3.5641 | 13.0 | 962 | 0.6677 | 14.0924 | 0.4563 | 29.278 |
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- | 0.5121 | 14.0 | 1036 | 0.6693 | 14.746 | 0.4651 | 28.4068 |
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- | 0.5121 | 15.0 | 1110 | 0.6698 | 14.9278 | 0.4677 | 28.5153 |
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- | 0.5121 | 16.0 | 1184 | 0.6700 | 14.7431 | 0.4674 | 28.9288 |
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- | 0.5121 | 17.0 | 1258 | 0.6744 | 15.2934 | 0.4701 | 28.8678 |
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- | 0.5121 | 18.0 | 1332 | 0.6741 | 15.6776 | 0.4712 | 28.3492 |
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- | 0.5121 | 19.0 | 1406 | 0.6772 | 14.942 | 0.4707 | 28.9695 |
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- | 0.5121 | 20.0 | 1480 | 0.6766 | 15.3416 | 0.4723 | 28.0271 |
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-
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-
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- ### Framework versions
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-
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- - Transformers 4.45.1
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- - Pytorch 2.4.0
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- - Datasets 3.0.1
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- - Tokenizers 0.20.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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model/config.json DELETED
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- {
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- "_name_or_path": "facebook/m2m100_418M",
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- "activation_dropout": 0.0,
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- "scale_embedding": true,
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- "transformers_version": "4.45.1",
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- "use_cache": true,
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- "__lb__",
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- "__lv__",
892
- "__mg__",
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- "__mk__",
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- "__ml__",
895
- "__mn__",
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- "__mr__",
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- "__ms__",
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- "__pa__",
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- "__pl__",
907
- "__ps__",
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- "__ro__",
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- "__ru__",
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- "__sd__",
912
- "__si__",
913
- "__sk__",
914
- "__sl__",
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- "__sq__",
917
- "__sr__",
918
- "__ss__",
919
- "__su__",
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921
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922
- "__ta__",
923
- "__th__",
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- "__tn__",
926
- "__tr__",
927
- "__uk__",
928
- "__ur__",
929
- "__uz__",
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- "__vi__",
931
- "__wo__",
932
- "__xh__",
933
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934
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936
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937
- ],
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948
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model/vocab.json DELETED
The diff for this file is too large to render. See raw diff
 
translation_model.py CHANGED
@@ -3,7 +3,8 @@ from transformers import pipeline
3
 
4
  # Load the translation model at the start to avoid reloading on each request
5
  start_time = time.time()
6
- pipe = pipeline("text2text-generation", model="model")
 
7
  print(f"Model loaded in {time.time() - start_time} seconds")
8
 
9
  def translate(input_text):
 
3
 
4
  # Load the translation model at the start to avoid reloading on each request
5
  start_time = time.time()
6
+
7
+ pipe = pipeline("text2text-generation", model="sarch7040/praTranv2")
8
  print(f"Model loaded in {time.time() - start_time} seconds")
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10
  def translate(input_text):