Upload TFT5ForConditionalGeneration

README.md

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+---
+license: mit
+tags:
+- generated_from_keras_callback
+model-index:
+- name: FineTune_Vit5_LR0_00001_time2
+  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. -->
+
+# FineTune_Vit5_LR0_00001_time2
+
+This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.6803
+- Validation Loss: 0.7039
+- Train Rouge1: 48.5820
+- Train Rouge2: 26.3291
+- Train Rougel: 39.9040
+- Train Rougelsum: 39.9339
+- Train Gen Len: 14.1547
+- 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': 'Adam', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
+|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
+| 0.6803     | 0.7039          | 48.5820      | 26.3291      | 39.9040      | 39.9339         | 14.1547       | 0     |
+
+
+### Framework versions
+
+- Transformers 4.26.0
+- TensorFlow 2.9.2
+- Datasets 2.9.0
+- Tokenizers 0.13.2

config.json

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+{
+  "_name_or_path": "VietAI/vit5-base",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "d_ff": 3072,
+  "d_kv": 64,
+  "d_model": 768,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "relu",
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "relu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": false,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "n_positions": 512,
+  "num_decoder_layers": 12,
+  "num_heads": 12,
+  "num_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.0",
+  "use_cache": true,
+  "vocab_size": 36096
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.26.0"
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e5a80d4279a5637fdfa79f578dfd744dcef7bafc83e9d5943096bd026ae2e072
+size 1126113272