Ayon128 commited on
Commit
62a9107
1 Parent(s): 2f5a259

Training in progress epoch 0

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Files changed (5) hide show
  1. README.md +53 -0
  2. config.json +1 -1
  3. generation_config.json +7 -0
  4. tf_model.h5 +3 -0
  5. tokenizer.json +4 -2
README.md ADDED
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+ ---
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+ base_model: csebuetnlp/banglat5
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+ tags:
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+ - generated_from_keras_callback
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+ model-index:
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+ - name: Ayon128/t5_model
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+ results: []
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+ ---
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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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+
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+ # Ayon128/t5_model
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+
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+ This model is a fine-tuned version of [csebuetnlp/banglat5](https://huggingface.co/csebuetnlp/banglat5) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Train Loss: 3.7751
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+ - Validation Loss: 1.0018
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+ - Epoch: 0
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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': 15000, '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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+
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+ ### Training results
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+
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+ | Train Loss | Validation Loss | Epoch |
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+ |:----------:|:---------------:|:-----:|
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+ | 3.7751 | 1.0018 | 0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - TensorFlow 2.14.0
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
config.json CHANGED
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  "relative_attention_num_buckets": 32,
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  "tie_word_embeddings": false,
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  "torch_dtype": "float32",
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- "transformers_version": "4.35.0",
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  "use_cache": true,
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  "vocab_size": 32128
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  }
 
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  "relative_attention_num_buckets": 32,
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  "tie_word_embeddings": false,
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  "torch_dtype": "float32",
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+ "transformers_version": "4.35.2",
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  "use_cache": true,
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  "vocab_size": 32128
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  }
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "decoder_start_token_id": 0,
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+ "eos_token_id": 1,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.35.2"
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+ }
tf_model.h5 ADDED
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+ oid sha256:504036ebe07f12e3b28d4d7efd7947c23d603a5aee8f1aeebc6ae60b267c0c85
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+ size 1188285040
tokenizer.json CHANGED
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  "pre_tokenizer": {
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  "type": "Metaspace",
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  "replacement": "▁",
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- "add_prefix_space": true
 
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  },
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  "post_processor": {
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  "type": "TemplateProcessing",
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  "decoder": {
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  "type": "Metaspace",
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  "replacement": "▁",
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- "add_prefix_space": true
 
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  "model": {
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  "type": "Unigram",
 
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  "pre_tokenizer": {
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  "type": "Metaspace",
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  "replacement": "▁",
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+ "add_prefix_space": true,
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+ "prepend_scheme": "always"
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  "post_processor": {
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  "type": "TemplateProcessing",
 
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  "decoder": {
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  "type": "Metaspace",
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  "model": {
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  "type": "Unigram",