Upload TFT5ForConditionalGeneration

README.md

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+---
+license: apache-2.0
+base_model: google/flan-t5-small
+tags:
+- generated_from_keras_callback
+model-index:
+- name: demo
+  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. -->
+
+# demo
+
+This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 1.1764
+- Validation Loss: 0.9237
+- Epoch: 24
+
+## 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': 2e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Validation Loss | Epoch |
+|:----------:|:---------------:|:-----:|
+| 1.6824     | 1.3619          | 0     |
+| 1.5733     | 1.3030          | 1     |
+| 1.5199     | 1.2730          | 2     |
+| 1.4833     | 1.2379          | 3     |
+| 1.4591     | 1.2201          | 4     |
+| 1.4278     | 1.1945          | 5     |
+| 1.4101     | 1.1755          | 6     |
+| 1.3870     | 1.1561          | 7     |
+| 1.3740     | 1.1366          | 8     |
+| 1.3559     | 1.1163          | 9     |
+| 1.3420     | 1.1007          | 10    |
+| 1.3265     | 1.0871          | 11    |
+| 1.3082     | 1.0708          | 12    |
+| 1.2984     | 1.0586          | 13    |
+| 1.2832     | 1.0429          | 14    |
+| 1.2724     | 1.0305          | 15    |
+| 1.2634     | 1.0170          | 16    |
+| 1.2486     | 1.0090          | 17    |
+| 1.2375     | 0.9901          | 18    |
+| 1.2259     | 0.9760          | 19    |
+| 1.2128     | 0.9659          | 20    |
+| 1.2038     | 0.9556          | 21    |
+| 1.1965     | 0.9446          | 22    |
+| 1.1833     | 0.9369          | 23    |
+| 1.1764     | 0.9237          | 24    |
+
+
+### Framework versions
+
+- Transformers 4.32.0
+- TensorFlow 2.13.0
+- Datasets 2.14.4
+- Tokenizers 0.12.1

config.json

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+{
+  "_name_or_path": "google/flan-t5-small",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "classifier_dropout": 0.0,
+  "d_ff": 1024,
+  "d_kv": 64,
+  "d_model": 512,
+  "decoder_start_token_id": 0,
+  "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",
+  "n_positions": 512,
+  "num_decoder_layers": 8,
+  "num_heads": 6,
+  "num_layers": 8,
+  "output_past": true,
+  "pad_token_id": 0,
+  "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: "
+    }
+  },
+  "tie_word_embeddings": false,
+  "transformers_version": "4.32.0",
+  "use_cache": true,
+  "vocab_size": 32128
+}

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": "4.32.0"
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:02013fd5c9c9da87d569609cebe165db97bbb8f0a8bc8eaf3f574301be741cdf
+size 439831352