Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/bart-base
+tags:
+- generated_from_trainer
+datasets:
+- arrow
+model-index:
+- name: bart-base-2024-09-24_11-12
+  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-base-2024-09-24_11-12
+
+This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the arrow dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1993
+- Gen Len: 20.0
+- Bertscorer-p: 0.5928
+- Bertscorer-r: 0.1701
+- Bertscorer-f1: 0.3731
+- Sacrebleu-score: 10.2541
+- Sacrebleu-precisions: [90.63003300856309, 79.05155386114873, 70.66565212490137, 65.68935823527592]
+- Bleu-bp: 0.1350
+
+## 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: 0.0003
+- 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
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Gen Len | Bertscorer-p | Bertscorer-r | Bertscorer-f1 | Sacrebleu-score | Sacrebleu-precisions                                                         | Bleu-bp |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------------:|:------------:|:-------------:|:---------------:|:----------------------------------------------------------------------------:|:-------:|
+| 0.189         | 1.0   | 4772 | 0.1993          | 20.0    | 0.5928       | 0.1701       | 0.3731        | 10.2541         | [90.63003300856309, 79.05155386114873, 70.66565212490137, 65.68935823527592] | 0.1350  |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.0
+- Tokenizers 0.19.1

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": "4.44.2"
+}

runs/Sep24_11-16-16_afd1a0307a42/events.out.tfevents.1727176876.afd1a0307a42.5362.0

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