onybrunella
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Training in progress epoch 0
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README.md
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license: apache-2.0
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base_model: google/mobilebert-uncased
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tags:
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model-index:
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- name: mobilebert-uncased-finetuned-squad-v2
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results: []
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---
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<!-- This model card has been generated automatically according to the information
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# mobilebert-uncased-finetuned-squad-v2
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This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on an unknown dataset.
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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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- learning_rate:
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- eval_batch_size: 64
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 256
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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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- lr_scheduler_warmup_steps: 164.6925
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.38.2
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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license: apache-2.0
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base_model: google/mobilebert-uncased
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tags:
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- generated_from_keras_callback
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model-index:
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- name: onybrunella/mobilebert-uncased-finetuned-squad-v2
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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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# onybrunella/mobilebert-uncased-finetuned-squad-v2
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This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 4650.7085
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- Train End Logits Accuracy: 0.2902
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- Train Start Logits Accuracy: 0.2428
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- Validation Loss: 3.1353
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- Validation End Logits Accuracy: 0.5043
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- Validation Start Logits Accuracy: 0.4971
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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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 8234, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
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- training_precision: float32
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### Training results
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| Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
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|:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
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| 4650.7085 | 0.2902 | 0.2428 | 3.1353 | 0.5043 | 0.4971 | 0 |
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### Framework versions
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- Transformers 4.38.2
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- TensorFlow 2.15.0
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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config.json
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"num_feedforward_networks": 4,
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"num_hidden_layers": 24,
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"pad_token_id": 0,
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"torch_dtype": "float32",
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"transformers_version": "4.38.2",
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"trigram_input": true,
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"true_hidden_size": 128,
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"num_feedforward_networks": 4,
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"num_hidden_layers": 24,
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"pad_token_id": 0,
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"transformers_version": "4.38.2",
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"trigram_input": true,
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"true_hidden_size": 128,
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logs/train/events.out.tfevents.1711749027.2d0c17002ee8.11121.0.v2
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version https://git-lfs.github.com/spec/v1
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size 11012094
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logs/train/events.out.tfevents.1711750084.2d0c17002ee8.16204.0.v2
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logs/validation/events.out.tfevents.1711753540.2d0c17002ee8.16204.1.v2
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size 604
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tf_model.h5
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size 99819976
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