badokorach
commited on
Commit
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Parent(s):
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Training in progress epoch 0
Browse files- .gitattributes +1 -0
- README.md +8 -22
- config.json +6 -7
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +7 -7
- tf_model.h5 +2 -2
- tokenizer.json +0 -0
- tokenizer_config.json +14 -12
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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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/roberta-base-squad2-agric-060124
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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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- Validation Loss: 0.0
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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: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate':
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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.
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| 1.7955 | 0.0 | 1 |
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| 1.4683 | 0.0 | 2 |
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| 1.2295 | 0.0 | 3 |
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| 1.0351 | 0.0 | 4 |
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| 0.8807 | 0.0 | 5 |
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| 0.7193 | 0.0 | 6 |
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| 0.6236 | 0.0 | 7 |
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| 0.5352 | 0.0 | 8 |
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| 0.4966 | 0.0 | 9 |
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| 0.4385 | 0.0 | 10 |
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| 0.3925 | 0.0 | 11 |
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| 0.3501 | 0.0 | 12 |
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| 0.3384 | 0.0 | 13 |
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| 0.3137 | 0.0 | 14 |
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### Framework versions
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- Transformers 4.35.2
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- TensorFlow 2.15.0
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- Datasets 2.16.1
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- Tokenizers 0.15.
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---
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license: mit
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base_model: badokorach/afriqa_afroxlmr_squad_v2_060124
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tags:
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- generated_from_keras_callback
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model-index:
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# badokorach/roberta-base-squad2-agric-060124
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This model is a fine-tuned version of [badokorach/afriqa_afroxlmr_squad_v2_060124](https://huggingface.co/badokorach/afriqa_afroxlmr_squad_v2_060124) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 2.0532
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- Validation Loss: 0.0
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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': 4e-05, 'decay_steps': 555, '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': 0.02}
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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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| 2.0532 | 0.0 | 0 |
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### Framework versions
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- Transformers 4.35.2
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- TensorFlow 2.15.0
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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config.json
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"language": "english",
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}
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sentencepiece.bpe.model
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size 5069051
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special_tokens_map.json
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tf_model.h5
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tokenizer.json
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tokenizer_config.json
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