Training complete

README.md

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+---
+license: mit
+base_model: october-sd/bart-large-xsum-finetuned-en-sum
+tags:
+- summarization
+- generated_from_trainer
+model-index:
+- name: bart-large-xsum-finetuned-en-sum-2
+  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-xsum-finetuned-en-sum-2
+
+This model is a fine-tuned version of [october-sd/bart-large-xsum-finetuned-en-sum](https://huggingface.co/october-sd/bart-large-xsum-finetuned-en-sum) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6259
+
+## 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-06
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 512
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 0.99  | 126  | 1.6222          |
+| No log        | 1.98  | 252  | 1.6259          |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.2
+- Datasets 2.15.0
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "max_length": 62,
+  "min_length": 11,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 6,
+  "pad_token_id": 1,
+  "transformers_version": "4.38.1"
+}

runs/Mar17_09-31-41_f179a59a1763/events.out.tfevents.1710667904.f179a59a1763.34.0

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