Training in progress epoch 0
Browse files- README.md +58 -0
- config.json +59 -0
- logs/train/events.out.tfevents.1658135030.a88c93fdeb96.69.0.v2 +3 -0
- logs/validation/events.out.tfevents.1658135396.a88c93fdeb96.69.1.v2 +3 -0
- special_tokens_map.json +107 -0
- tf_model.h5 +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +112 -0
README.md
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---
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license: apache-2.0
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tags:
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- generated_from_keras_callback
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model-index:
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- name: TestZee/t5-small-finetuned-kaggle-data-t5-v2.0
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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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# TestZee/t5-small-finetuned-kaggle-data-t5-v2.0
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 2.1107
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- Validation Loss: 1.8251
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- Train Rouge1: 23.3472
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- Train Rouge2: 12.6240
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- Train Rougel: 20.0726
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- Train Rougelsum: 21.6297
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- Train Gen Len: 19.0
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- Epoch: 0
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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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': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
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- training_precision: float32
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### Training results
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| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
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|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
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| 2.1107 | 1.8251 | 23.3472 | 12.6240 | 20.0726 | 21.6297 | 19.0 | 0 |
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### Framework versions
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- Transformers 4.20.1
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- TensorFlow 2.8.2
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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config.json
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{
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"_name_or_path": "t5-small",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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"d_ff": 2048,
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"d_kv": 64,
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"d_model": 512,
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"decoder_start_token_id": 0,
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"dense_act_fn": "relu",
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "relu",
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"is_gated_act": false,
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"layer_norm_epsilon": 1e-06,
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"model_type": "t5",
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"n_positions": 512,
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"num_decoder_layers": 6,
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"num_heads": 8,
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"num_layers": 6,
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"output_past": true,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 32,
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"task_specific_params": {
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"summarization": {
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"early_stopping": true,
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"length_penalty": 2.0,
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"max_length": 200,
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"min_length": 30,
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"prefix": "summarize: "
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},
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"translation_en_to_de": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to German: "
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},
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"translation_en_to_fr": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to French: "
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},
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"translation_en_to_ro": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to Romanian: "
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}
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},
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"transformers_version": "4.20.1",
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"use_cache": true,
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"vocab_size": 32128
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}
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logs/train/events.out.tfevents.1658135030.a88c93fdeb96.69.0.v2
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version https://git-lfs.github.com/spec/v1
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oid sha256:97797b1c9e634ff895fb2fc01aa9a333953ec5da7f0dfb0ebf84b11af8e5a77f
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size 2871783
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logs/validation/events.out.tfevents.1658135396.a88c93fdeb96.69.1.v2
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version https://git-lfs.github.com/spec/v1
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size 194
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special_tokens_map.json
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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:a422d22f858a6c10dcb8338178bec7ff75b79c23a6b0104063c3a379e6579fef
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size 242301848
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tokenizer.json
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tokenizer_config.json
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}
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