KarthikAlagarsamy
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Training in progress epoch 0
Browse files- README.md +16 -21
- config.json +1 -2
- tf_model.h5 +3 -0
- tokenizer.json +16 -2
README.md
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license: apache-2.0
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base_model: distilbert-base-uncased
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tags:
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model-index:
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- name: my_awesome_qa_model
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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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# my_awesome_qa_model
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.
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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: 2e-05
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- eval_batch_size: 16
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- seed: 42
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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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- num_epochs: 3
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### Training results
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| No log | 2.0 | 6 | 5.8290 |
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| No log | 3.0 | 9 | 5.8070 |
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### Framework versions
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- Transformers 4.38.
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- Datasets 2.
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- Tokenizers 0.15.2
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license: apache-2.0
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base_model: distilbert-base-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: KarthikAlagarsamy/my_awesome_qa_model
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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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# KarthikAlagarsamy/my_awesome_qa_model
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 5.9228
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- Validation Loss: 5.9355
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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': False, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 4, '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 | Validation Loss | Epoch |
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|:----------:|:---------------:|:-----:|
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| 5.9228 | 5.9355 | 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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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"
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"transformers_version": "4.38.0",
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"vocab_size": 30522
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}
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"transformers_version": "4.38.2",
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"vocab_size": 30522
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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 sha256:2b5cc8b6d9e4963d31d9508e5106f586dcb2bc8d84767ecf7db5d305c8c8db07
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size 265583592
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tokenizer.json
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{
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"version": "1.0",
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"truncation":
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"added_tokens": [
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{
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"id": 0,
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{
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"version": "1.0",
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"truncation": {
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"direction": "Right",
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"max_length": 384,
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"strategy": "OnlySecond",
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"stride": 0
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},
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"padding": {
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"strategy": {
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"Fixed": 384
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},
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"direction": "Right",
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"pad_to_multiple_of": null,
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"pad_id": 0,
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"pad_type_id": 0,
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"pad_token": "[PAD]"
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},
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"added_tokens": [
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{
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"id": 0,
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