End of training

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README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/flan-t5-large
+tags:
+- generated_from_trainer
+model-index:
+- name: flan-t5-large-p-l-akk-en-20241023-233318
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# flan-t5-large-p-l-akk-en-20241023-233318
+
+This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 16.5796
+
+## 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:
+- learning_rate: 4e-05
+- train_batch_size: 112
+- eval_batch_size: 112
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 100
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss |
+|:-------------:|:------:|:-----:|:---------------:|
+| 0.7899        | 0.2417 | 5000  | 0.7394          |
+| 0.5793        | 0.4835 | 10000 | 0.5446          |
+| 1.3046        | 0.7252 | 15000 | 1.2517          |
+| 1.3069        | 0.9670 | 20000 | 1.2526          |
+| 1.5098        | 1.2087 | 25000 | 1.4190          |
+| 15.0261       | 1.4505 | 30000 | 7.3843          |
+| 22.769        | 1.6922 | 35000 | 16.5796         |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.6.0.dev20241022+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1

config.json

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+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
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+  "num_heads": 16,
+  "num_layers": 24,
+  "output_past": true,
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+  "relative_attention_max_distance": 128,
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+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.2",
+  "use_cache": true,
+  "vocab_size": 184708
+}

generation_config.json

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+  "transformers_version": "4.45.2"
+}

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