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Training in progress epoch 0

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Files changed (4) hide show
  1. README.md +6 -6
  2. config.json +13 -6
  3. tf_model.h5 +2 -2
  4. tokenizer_config.json +7 -0
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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- license: apache-2.0
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- base_model: t5-small
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  tags:
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  - generated_from_keras_callback
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  model-index:
@@ -13,10 +13,10 @@ probably proofread and complete it, then remove this comment. -->
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  # codingfaf/paraSci
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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: 3.1310
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- - Validation Loss: 2.8794
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  - Epoch: 0
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  ## Model description
@@ -43,7 +43,7 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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- | 3.1310 | 2.8794 | 0 |
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  ### Framework versions
 
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  ---
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+ license: openrail
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+ base_model: humarin/chatgpt_paraphraser_on_T5_base
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  tags:
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  - generated_from_keras_callback
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  model-index:
 
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  # codingfaf/paraSci
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+ This model is a fine-tuned version of [humarin/chatgpt_paraphraser_on_T5_base](https://huggingface.co/humarin/chatgpt_paraphraser_on_T5_base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 2.8070
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+ - Validation Loss: 2.2901
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  - Epoch: 0
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  ## Model description
 
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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+ | 2.8070 | 2.2901 | 0 |
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  ### Framework versions
config.json CHANGED
@@ -1,12 +1,12 @@
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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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  "classifier_dropout": 0.0,
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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,
@@ -18,14 +18,20 @@
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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,
@@ -54,6 +60,7 @@
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  "prefix": "translate English to Romanian: "
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  }
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  },
 
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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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  {
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+ "_name_or_path": "humarin/chatgpt_paraphraser_on_T5_base",
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  "architectures": [
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  "T5ForConditionalGeneration"
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  ],
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  "classifier_dropout": 0.0,
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+ "d_ff": 3072,
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  "d_kv": 64,
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+ "d_model": 768,
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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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  "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": 12,
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+ "num_heads": 12,
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+ "num_layers": 12,
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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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+ "paraphrase": {
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+ "early_stopping": true,
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+ "max_length": 128,
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+ "num_beams": 5,
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+ "prefix": "paraphrase: "
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+ },
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  "summarization": {
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  "early_stopping": true,
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  "length_penalty": 2.0,
 
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  "prefix": "translate English to Romanian: "
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  }
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  },
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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
tf_model.h5 CHANGED
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tokenizer_config.json CHANGED
@@ -930,8 +930,15 @@
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  "clean_up_tokenization_spaces": true,
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  "eos_token": "</s>",
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  "extra_ids": 100,
 
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  "model_max_length": 512,
 
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  "pad_token": "<pad>",
 
 
 
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  "tokenizer_class": "T5Tokenizer",
 
 
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  "unk_token": "<unk>"
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  }
 
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  "clean_up_tokenization_spaces": true,
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  "eos_token": "</s>",
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  "extra_ids": 100,
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+ "max_length": 128,
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  "model_max_length": 512,
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+ "pad_to_multiple_of": null,
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  "pad_token": "<pad>",
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+ "pad_token_type_id": 0,
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+ "padding_side": "right",
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+ "stride": 0,
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  "tokenizer_class": "T5Tokenizer",
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+ "truncation_side": "right",
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+ "truncation_strategy": "longest_first",
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  "unk_token": "<unk>"
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  }