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_750
+  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_750
+
+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: 0.9368
+- Rouge1: 0.7111
+- Rouge2: 0.4588
+- Rougel: 0.6541
+- Rougelsum: 0.6542
+- Wer: 0.433
+
+## 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: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
+| No log        | 0.13  | 250  | 1.1442          | 0.6749 | 0.4062 | 0.6133 | 0.6132    | 0.4806 |
+| 2.053         | 0.27  | 500  | 1.0353          | 0.6859 | 0.4274 | 0.6269 | 0.6269    | 0.4586 |
+| 2.053         | 0.4   | 750  | 1.0013          | 0.6935 | 0.4384 | 0.6351 | 0.6352    | 0.4499 |
+| 1.1091        | 0.53  | 1000 | 0.9866          | 0.7003 | 0.4467 | 0.6416 | 0.6417    | 0.4425 |
+| 1.1091        | 0.66  | 1250 | 0.9591          | 0.7052 | 0.4512 | 0.6469 | 0.647     | 0.4386 |
+| 1.0491        | 0.8   | 1500 | 0.9502          | 0.7035 | 0.4517 | 0.6469 | 0.647     | 0.4366 |
+| 1.0491        | 0.93  | 1750 | 0.9368          | 0.7111 | 0.4588 | 0.6541 | 0.6542    | 0.433  |
+
+
+### 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/Mar15_19-40-45_e7f94124c380/events.out.tfevents.1710531659.e7f94124c380.3740.0

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