training completed[dev]: 1024 128

README.md

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+---
+license: apache-2.0
+base_model: facebook/bart-large
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+- wer
+model-index:
+- name: bart_extractive_1024_1000
+  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_extractive_1024_1000
+
+This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8802
+- Rouge1: 0.7215
+- Rouge2: 0.4773
+- Rougel: 0.668
+- Rougelsum: 0.668
+- Wer: 0.4137
+- Bleurt: -0.027
+
+## 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: 2e-05
+- train_batch_size: 6
+- eval_batch_size: 6
+- seed: 42
+- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Wer    | Bleurt  |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|:-------:|
+| No log        | 0.13  | 250  | 1.1362          | 0.6713 | 0.4064 | 0.6113 | 0.6111    | 0.4774 | -0.1118 |
+| 2.0454        | 0.27  | 500  | 1.0337          | 0.6869 | 0.4301 | 0.6289 | 0.6288    | 0.4555 | -0.1734 |
+| 2.0454        | 0.4   | 750  | 1.0002          | 0.7017 | 0.4465 | 0.6435 | 0.6434    | 0.4467 | -0.357  |
+| 1.0987        | 0.53  | 1000 | 0.9747          | 0.7008 | 0.4469 | 0.6423 | 0.6422    | 0.442  | -0.0679 |
+| 1.0987        | 0.66  | 1250 | 0.9589          | 0.7092 | 0.456  | 0.6521 | 0.652     | 0.4363 | 0.2669  |
+| 1.0418        | 0.8   | 1500 | 0.9551          | 0.704  | 0.4538 | 0.6486 | 0.6485    | 0.4343 | -0.1447 |
+| 1.0418        | 0.93  | 1750 | 0.9316          | 0.7096 | 0.4605 | 0.6546 | 0.6544    | 0.4285 | -0.0465 |
+| 1.0031        | 1.06  | 2000 | 0.9150          | 0.7129 | 0.4653 | 0.6584 | 0.6583    | 0.4255 | -0.1069 |
+| 1.0031        | 1.2   | 2250 | 0.9094          | 0.7119 | 0.4658 | 0.6577 | 0.6576    | 0.4234 | -0.4062 |
+| 0.9052        | 1.33  | 2500 | 0.9101          | 0.721  | 0.4736 | 0.6665 | 0.6664    | 0.4206 | 0.2201  |
+| 0.9052        | 1.46  | 2750 | 0.8983          | 0.7161 | 0.471  | 0.6619 | 0.6618    | 0.4184 | 0.0117  |
+| 0.9045        | 1.6   | 3000 | 0.8917          | 0.7216 | 0.4762 | 0.6675 | 0.6674    | 0.4169 | 0.2346  |
+| 0.9045        | 1.73  | 3250 | 0.8906          | 0.7167 | 0.474  | 0.6643 | 0.6642    | 0.4153 | -0.0679 |
+| 0.8767        | 1.86  | 3500 | 0.8797          | 0.7232 | 0.4787 | 0.6698 | 0.6697    | 0.4141 | 0.2346  |
+| 0.8767        | 1.99  | 3750 | 0.8802          | 0.7215 | 0.4773 | 0.668  | 0.668     | 0.4137 | -0.027  |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- 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_bos_token_id": 0,
+  "forced_eos_token_id": 2,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 1,
+  "transformers_version": "4.38.2"
+}

runs/Mar19_17-31-37_79eef9fcf5d9/events.out.tfevents.1710869501.79eef9fcf5d9.12590.0

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