Training in progress epoch 0

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: alexrink/t5-small-finetuned-xsum
+  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. -->
+
+# alexrink/t5-small-finetuned-xsum
+
+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: 5.5793
+- Validation Loss: 5.4465
+- 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 | Epoch |
+|:----------:|:---------------:|:-----:|
+| 5.5793     | 5.4465          | 0     |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- TensorFlow 2.11.0
+- Datasets 2.9.0
+- Tokenizers 0.13.2

config.json

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+  "model_type": "t5",
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+  "num_layers": 6,
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+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
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+      "prefix": "translate English to German: "
+    },
+    "translation_en_to_fr": {
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+      "prefix": "translate English to Romanian: "
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+  },
+  "transformers_version": "4.26.1",
+  "use_cache": true,
+  "vocab_size": 32128
+}

generation_config.json

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+  "eos_token_id": 1,
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+  "transformers_version": "4.26.1"
+}

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