badokorach
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Training in progress epoch 0
Browse files- README.md +8 -17
- config.json +13 -10
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +13 -5
- tf_model.h5 +2 -2
- tokenizer.json +0 -0
- tokenizer_config.json +17 -10
README.md
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---
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license:
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base_model:
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tags:
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- generated_from_keras_callback
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model-index:
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# badokorach/afro-xlmr-base
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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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- Train Loss:
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- Epoch:
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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: {'
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- training_precision: mixed_float16
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### Training results
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| Train Loss | Epoch |
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|:----------:|:-----:|
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| 1.9141 | 1 |
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| 1.8119 | 2 |
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| 1.7013 | 3 |
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| 1.5896 | 4 |
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| 1.4655 | 5 |
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| 1.3218 | 6 |
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| 1.2406 | 7 |
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| 1.1339 | 8 |
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| 1.1235 | 9 |
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### Framework versions
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- Transformers 4.32.
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- TensorFlow 2.12.0
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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---
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license: mit
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base_model: Davlan/afro-xlmr-small
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tags:
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- generated_from_keras_callback
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model-index:
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# badokorach/afro-xlmr-base
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This model is a fine-tuned version of [Davlan/afro-xlmr-small](https://huggingface.co/Davlan/afro-xlmr-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 4.1137
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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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 1140, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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 | Epoch |
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|:----------:|:-----:|
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| 4.1137 | 0 |
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### Framework versions
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- Transformers 4.32.1
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- TensorFlow 2.12.0
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- Datasets 2.14.4
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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": "
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"architectures": [
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"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-
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"max_position_embeddings":
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"model_type": "
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"
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"position_embedding_type": "absolute",
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"
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"
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"use_cache": true,
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"vocab_size":
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}
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{
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"_name_or_path": "Davlan/afro-xlmr-small",
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"architectures": [
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"XLMRobertaForQuestionAnswering"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "xlm-roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.32.1",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 70611
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}
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sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:39379df87dca54c26980bc768996371af2537bfe9d33693e2aa90a4c57a25b5c
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size 1652624
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special_tokens_map.json
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{
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}
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{
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"unk_token": "<unk>"
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}
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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:
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size
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version https://git-lfs.github.com/spec/v1
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size 559016168
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tokenizer.json
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tokenizer_config.json
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{
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"clean_up_tokenization_spaces": true,
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"cls_token": "
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"mask_token":
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}
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{
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": true,
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": {
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"__type": "AddedToken",
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"content": "<mask>",
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"lstrip": true,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"sp_model_kwargs": {},
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"tokenizer_class": "XLMRobertaTokenizer",
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"unk_token": "<unk>"
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}
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