training completed[dev]: 512 128

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_baseline_512
+  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_baseline_512
+
+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: 1.0396
+- Rouge1: 0.6863
+- Rouge2: 0.4232
+- Rougel: 0.6228
+- Rougelsum: 0.6228
+- Wer: 0.4678
+
+## 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    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
+| No log        | 0.13  | 250  | 1.2878          | 0.6496 | 0.3667 | 0.5801 | 0.5801    | 0.5226 |
+| 2.1925        | 0.27  | 500  | 1.1932          | 0.6633 | 0.3849 | 0.5939 | 0.5939    | 0.5078 |
+| 2.1925        | 0.4   | 750  | 1.1643          | 0.6635 | 0.3912 | 0.5958 | 0.5958    | 0.4988 |
+| 1.2677        | 0.53  | 1000 | 1.1346          | 0.6741 | 0.3999 | 0.6056 | 0.6057    | 0.4946 |
+| 1.2677        | 0.66  | 1250 | 1.1284          | 0.6685 | 0.3986 | 0.6024 | 0.6025    | 0.4905 |
+| 1.2068        | 0.8   | 1500 | 1.1042          | 0.6783 | 0.4077 | 0.6131 | 0.613     | 0.4864 |
+| 1.2068        | 0.93  | 1750 | 1.0896          | 0.677  | 0.4102 | 0.6127 | 0.6127    | 0.4816 |
+| 1.1659        | 1.06  | 2000 | 1.0812          | 0.6803 | 0.4142 | 0.6167 | 0.6166    | 0.4788 |
+| 1.1659        | 1.2   | 2250 | 1.0670          | 0.6862 | 0.4194 | 0.6214 | 0.6214    | 0.4753 |
+| 1.0634        | 1.33  | 2500 | 1.0665          | 0.68   | 0.4162 | 0.6165 | 0.6165    | 0.4743 |
+| 1.0634        | 1.46  | 2750 | 1.0542          | 0.6866 | 0.4223 | 0.6225 | 0.6226    | 0.4721 |
+| 1.0708        | 1.6   | 3000 | 1.0495          | 0.6872 | 0.4232 | 0.6234 | 0.6233    | 0.4706 |
+| 1.0708        | 1.73  | 3250 | 1.0459          | 0.6838 | 0.4209 | 0.6212 | 0.6211    | 0.47   |
+| 1.0442        | 1.86  | 3500 | 1.0418          | 0.6868 | 0.4237 | 0.6235 | 0.6234    | 0.468  |
+| 1.0442        | 1.99  | 3750 | 1.0396          | 0.6863 | 0.4232 | 0.6228 | 0.6228    | 0.4678 |
+
+
+### 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/Apr02_07-35-05_39a91ad9ac3d/events.out.tfevents.1712043312.39a91ad9ac3d.1456.0

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