End of training

README.md

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+---
+license: apache-2.0
+base_model: Koshti10/BART-large-ET-Synthetic
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: BART_large_Synthetic_Gameplan
+  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. -->
+
+# BART_large_Synthetic_Gameplan
+
+This model is a fine-tuned version of [Koshti10/BART-large-ET-Synthetic](https://huggingface.co/Koshti10/BART-large-ET-Synthetic) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2557
+- Rouge1: 38.2255
+- Rouge2: 27.7473
+- Rougel: 35.4392
+- Rougelsum: 35.414
+- Gen Len: 19.2554
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 20
+- label_smoothing_factor: 0.1
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "forced_bos_token_id": 0,
+  "forced_eos_token_id": 2,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 1,
+  "transformers_version": "4.33.2"
+}

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