Training in progress epoch 0

.gitattributes

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README.md

@@ -0,0 +1,59 @@
+---
+license: mit
+base_model: minhtoan/t5-small-vietnamese-news
+tags:
+- generated_from_keras_callback
+model-index:
+- name: Eugenememe/t5-small-vietnamese-news-finetuned-xsum2
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# Eugenememe/t5-small-vietnamese-news-finetuned-xsum2
+
+This model is a fine-tuned version of [minhtoan/t5-small-vietnamese-news](https://huggingface.co/minhtoan/t5-small-vietnamese-news) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 1.4120
+- Validation Loss: 1.1603
+- Train Rouge1: 44.1340
+- Train Rouge2: 24.3230
+- Train Rougel: 33.8562
+- Train Rougelsum: 33.8562
+- Train Gen Len: 19.0
+- Epoch: 0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- 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}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
+|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
+| 1.4120     | 1.1603          | 44.1340      | 24.3230      | 33.8562      | 33.8562         | 19.0          | 0     |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- TensorFlow 2.15.0
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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+  "_name_or_path": "minhtoan/t5-small-vietnamese-news",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "classifier_dropout": 0.0,
+  "d_ff": 1024,
+  "d_kv": 64,
+  "d_model": 512,
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+  "dense_act_fn": "gelu_new",
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "num_decoder_layers": 8,
+  "num_heads": 6,
+  "num_layers": 8,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "tokenizer_class": "T5Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 250112
+}

generation_config.json

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+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.38.2"
+}

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special_tokens_map.json

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tokenizer_config.json

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