Training in progress epoch 0
Browse files- .gitattributes +2 -0
- README.md +54 -0
- config.json +60 -0
- generation_config.json +16 -0
- source.spm +3 -0
- special_tokens_map.json +5 -0
- target.spm +3 -0
- tf_model.h5 +3 -0
- tokenizer_config.json +13 -0
- vocab.json +0 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: apache-2.0
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base_model: Helsinki-NLP/opus-mt-es-ar
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tags:
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- generated_from_keras_callback
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model-index:
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- name: ezzini/marian-finetuned-mcwc-es-to-ar
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# ezzini/marian-finetuned-mcwc-es-to-ar
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-ar](https://huggingface.co/Helsinki-NLP/opus-mt-es-ar) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 2.2782
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- Validation Loss: 2.0503
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- Epoch: 0
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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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': 2049, '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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| 2.2782 | 2.0503 | 0 |
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### Framework versions
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- Transformers 4.33.3
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- TensorFlow 2.13.0
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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config.json
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{
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"_name_or_path": "Helsinki-NLP/opus-mt-es-ar",
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"activation_dropout": 0.0,
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"activation_function": "swish",
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"add_bias_logits": false,
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"add_final_layer_norm": false,
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"architectures": [
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"MarianMTModel"
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],
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"attention_dropout": 0.0,
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"bad_words_ids": [
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[
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62517
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]
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],
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"bos_token_id": 0,
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"classif_dropout": 0.0,
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"classifier_dropout": 0.0,
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"d_model": 512,
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"decoder_attention_heads": 8,
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"decoder_ffn_dim": 2048,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 6,
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"decoder_start_token_id": 62517,
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"decoder_vocab_size": 62518,
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"dropout": 0.1,
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"encoder_attention_heads": 8,
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"encoder_ffn_dim": 2048,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 6,
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"eos_token_id": 0,
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"extra_pos_embeddings": 62518,
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"forced_eos_token_id": 0,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"init_std": 0.02,
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"is_encoder_decoder": true,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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},
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"max_length": 512,
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"max_position_embeddings": 512,
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"model_type": "marian",
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"normalize_before": false,
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"normalize_embedding": false,
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"num_beams": 4,
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"num_hidden_layers": 6,
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"pad_token_id": 62517,
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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": "4.33.3",
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"use_cache": true,
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"vocab_size": 62518
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bad_words_ids": [
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[
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62517
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]
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],
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"bos_token_id": 0,
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"decoder_start_token_id": 62517,
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"eos_token_id": 0,
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"forced_eos_token_id": 0,
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"max_length": 512,
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"num_beams": 4,
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"pad_token_id": 62517,
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"transformers_version": "4.33.3"
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}
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source.spm
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version https://git-lfs.github.com/spec/v1
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oid sha256:d3e1ec508e9f334e1e5285ff6ac31ae92f139d2e6b4121169b7cc61b8f270667
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size 831392
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special_tokens_map.json
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{
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"eos_token": "</s>",
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"pad_token": "<pad>",
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"unk_token": "<unk>"
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}
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target.spm
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version https://git-lfs.github.com/spec/v1
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oid sha256:4b98e4419d5d897decfa74e997483991a971b4162ff4c444484ad9580e29b6e3
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size 923046
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:34c891ecbe388461a16e6b1380e73ca56f98ca4a65f54da9b22ac4b11da1d3c8
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size 307225480
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tokenizer_config.json
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{
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"clean_up_tokenization_spaces": true,
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"eos_token": "</s>",
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"model_max_length": 512,
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"pad_token": "<pad>",
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"return_tensors": "pt",
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"separate_vocabs": false,
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"source_lang": "spa",
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"sp_model_kwargs": {},
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"target_lang": "ara",
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"tokenizer_class": "MarianTokenizer",
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"unk_token": "<unk>"
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}
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vocab.json
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