Training in progress epoch 0

README.md

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+---
+tags:
+- generated_from_keras_callback
+model-index:
+- name: Nerdward/pegasus-tf-finetuned-model
+  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. -->
+
+# Nerdward/pegasus-tf-finetuned-model
+
+This model is a fine-tuned version of [human-centered-summarization/financial-summarization-pegasus](https://huggingface.co/human-centered-summarization/financial-summarization-pegasus) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 2.9216
+- Validation Loss: 1.8082
+- 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 |
+|:----------:|:---------------:|:-----:|
+| 2.9216     | 1.8082          | 0     |
+
+
+### Framework versions
+
+- Transformers 4.24.0
+- TensorFlow 2.9.2
+- Datasets 2.7.1
+- Tokenizers 0.13.2

config.json

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+  "activation_function": "relu",
+  "add_bias_logits": false,
+  "add_final_layer_norm": true,
+  "architectures": [
+    "PegasusForConditionalGeneration"
+  ],
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+  "decoder_attention_heads": 16,
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+  "do_blenderbot_90_layernorm": false,
+  "dropout": 0.1,
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+  "encoder_ffn_dim": 4096,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 16,
+  "eos_token_id": 1,
+  "extra_pos_embeddings": 1,
+  "force_bos_token_to_be_generated": false,
+  "forced_eos_token_id": 1,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "label2id": {
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+    "LABEL_2": 2
+  },
+  "length_penalty": 0.6,
+  "max_length": 64,
+  "max_position_embeddings": 512,
+  "model_type": "pegasus",
+  "normalize_before": true,
+  "normalize_embedding": false,
+  "num_beams": 8,
+  "num_hidden_layers": 16,
+  "pad_token_id": 0,
+  "scale_embedding": true,
+  "static_position_embeddings": true,
+  "transformers_version": "4.24.0",
+  "use_cache": true,
+  "vocab_size": 96103
+}

special_tokens_map.json

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