Upload TFT5ForConditionalGeneration (#1)

- Upload TFT5ForConditionalGeneration (76841d355883fd4b6394879e646b28ea482cdcf0)

README.md

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 ---
 license: apache-2.0
+base_model: ai-forever/FRED-T5-large
+tags:
+- generated_from_keras_callback
+model-index:
+- name: t5-jumoreski
+  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-jumoreski
+
+This model is a fine-tuned version of [ai-forever/FRED-T5-large](https://huggingface.co/ai-forever/FRED-T5-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.1765
+- Epoch: 4
+
+## 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': 0.01, 'clipnorm': 1, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'CosineDecay', 'config': {'initial_learning_rate': 2e-06, 'decay_steps': 3290, 'alpha': 5e-09, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- training_precision: mixed_bfloat16
+
+### Training results
+
+| Train Loss | Epoch |
+|:----------:|:-----:|
+| 0.2797     | 0     |
+| 0.2091     | 1     |
+| 0.1885     | 2     |
+| 0.1804     | 3     |
+| 0.1765     | 4     |
+
+
+### Framework versions
+
+- Transformers 4.33.3
+- TensorFlow 2.12.0
+- Datasets 2.14.5
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "ai-forever/FRED-T5-large",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "classifier_dropout": 0.0,
+  "d_ff": 2816,
+  "d_kv": 64,
+  "d_model": 1024,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "gelu_new",
+  "dropout_rate": 0.1,
+  "eos_token_id": 2,
+  "feed_forward_proj": "gated-gelu",
+  "gradient_checkpointing": false,
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "num_decoder_layers": 24,
+  "num_heads": 16,
+  "num_layers": 24,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.33.3",
+  "use_cache": true,
+  "vocab_size": 50364
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.33.3"
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3086edab331e9280020590c659ad5aebd23aaf6ca1ac878a40a61d6d8bbf94e1
+size 3695699576