add model

README.md

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 ---
-license: mit
+license: apache-2.0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: T5-Finetuned-legal_summarization
+  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. -->
+
+# T5-Finetuned-legal_summarization
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 2.6141
+- Validation Loss: 2.1791
+- Train Rougel: tf.Tensor(0.21532206, shape=(), dtype=float32)
+- 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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 1e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Validation Loss | Train Rougel                                   | Epoch |
+|:----------:|:---------------:|:----------------------------------------------:|:-----:|
+| 2.6141     | 2.1791          | tf.Tensor(0.21532206, shape=(), dtype=float32) | 0     |
+
+
+### Framework versions
+
+- Transformers 4.20.0
+- TensorFlow 2.12.0
+- Datasets 2.12.0
+- Tokenizers 0.12.1

config.json

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+{
+  "_name_or_path": "t5-small",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "d_ff": 2048,
+  "d_kv": 64,
+  "d_model": 512,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "relu",
+  "dropout_rate": 0.1,
+  "early_stopping": true,
+  "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,
+  "length_penalty": 2.0,
+  "max_length": 200,
+  "min_length": 30,
+  "model_type": "t5",
+  "n_positions": 512,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "num_decoder_layers": 6,
+  "num_heads": 8,
+  "num_layers": 6,
+  "output_past": true,
+  "pad_token_id": 0,
+  "prefix": "summarize: ",
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "task_specific_params": {
+    "summarization": {
+      "early_stopping": true,
+      "length_penalty": 2.0,
+      "max_length": 200,
+      "min_length": 30,
+      "no_repeat_ngram_size": 3,
+      "num_beams": 4,
+      "prefix": "summarize: "
+    },
+    "translation_en_to_de": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to German: "
+    },
+    "translation_en_to_fr": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to French: "
+    },
+    "translation_en_to_ro": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to Romanian: "
+    }
+  },
+  "transformers_version": "4.20.0",
+  "use_cache": true,
+  "vocab_size": 32128
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4de7b5b2eab8e9c4ff2921d8d23e836dda9a1f230dc2531e4eac3099c75db643
+size 242301696