Baghdad99 commited on
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Training in progress epoch 0

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  1. README.md +7 -9
  2. config.json +2 -1
  3. tf_model.h5 +1 -1
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  license: apache-2.0
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- base_model: Helsinki-NLP/opus-mt-en-ha
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  tags:
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  - generated_from_keras_callback
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  model-index:
@@ -13,11 +13,11 @@ probably proofread and complete it, then remove this comment. -->
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  # Baghdad99/saad-opus-en-to-ha
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- This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ha](https://huggingface.co/Helsinki-NLP/opus-mt-en-ha) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.0512
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- - Validation Loss: 0.0678
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- - Epoch: 2
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  ## Model description
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@@ -36,16 +36,14 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 9183, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.03}
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  - training_precision: mixed_float16
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  ### Training results
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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- | 0.0818 | 0.0589 | 0 |
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- | 0.0591 | 0.0654 | 1 |
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- | 0.0512 | 0.0678 | 2 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: dammyogt/damilola-finetuned-NLP-opus-mt-en-ha
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  tags:
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  - generated_from_keras_callback
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  model-index:
 
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  # Baghdad99/saad-opus-en-to-ha
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+ This model is a fine-tuned version of [dammyogt/damilola-finetuned-NLP-opus-mt-en-ha](https://huggingface.co/dammyogt/damilola-finetuned-NLP-opus-mt-en-ha) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.0944
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+ - Validation Loss: 0.0865
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+ - Epoch: 0
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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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+ - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 3061, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
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  - training_precision: mixed_float16
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  ### Training results
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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+ | 0.0944 | 0.0865 | 0 |
 
 
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  ### Framework versions
config.json CHANGED
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  {
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- "_name_or_path": "Helsinki-NLP/opus-mt-en-ha",
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  "_num_labels": 3,
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  "activation_dropout": 0.0,
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  "activation_function": "swish",
@@ -54,6 +54,7 @@
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  "scale_embedding": true,
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  "share_encoder_decoder_embeddings": true,
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  "static_position_embeddings": true,
 
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  "transformers_version": "4.35.0",
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  "use_cache": true,
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  "vocab_size": 58089
 
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  {
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+ "_name_or_path": "dammyogt/damilola-finetuned-NLP-opus-mt-en-ha",
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  "_num_labels": 3,
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  "activation_dropout": 0.0,
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  "activation_function": "swish",
 
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  "scale_embedding": true,
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  "share_encoder_decoder_embeddings": true,
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  "static_position_embeddings": true,
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+ "torch_dtype": "float32",
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  "transformers_version": "4.35.0",
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  "use_cache": true,
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  "vocab_size": 58089
tf_model.h5 CHANGED
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