bart-finetuned-kwsylchunk-64-8line

README.md

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+---
+license: apache-2.0
+base_model: facebook/bart-large
+tags:
+- generated_from_trainer
+model-index:
+- name: bart-finetuned-kwsylchunk-64-8line
+ 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-finetuned-kwsylchunk-64-8line
+
+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: 1.3752
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.1919 | 1.13 | 500 | 1.4809 |
+| 1.4962 | 2.25 | 1000 | 1.3752 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.15.2

generation_config.json

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+{
+ "bos_token_id": 0,
+ "clean_up_tokenization_spaces": true,
+ "decoder_start_token_id": 2,
+ "do_sample": true,
+ "early_stopping": true,
+ "eos_token_id": 2,
+ "forced_bos_token_id": 0,
+ "forced_eos_token_id": 2,
+ "max_new_tokens": 64,
+ "n_examples": null,
+ "no_repeat_ngram_size": 2,
+ "num_beams": 4,
+ "pad_to_max_length": true,
+ "pad_token_id": 2,
+ "padding": "max_length",
+ "renormalize_logits": true,
+ "skip_special_tokens": true,
+ "temperature": 0.85,
+ "top_k": 0,
+ "top_p": 0.9,
+ "transformers_version": "4.38.2",
+ "truncation": true
+}