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adamjweintraut/bart-finetuned-eli5_lfqa_best

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: facebook/bart-large
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bart-finetuned-eli5_lfqa_best
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # bart-finetuned-eli5_lfqa_best
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+
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+ This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1110
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 2
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 1.4105 | 0.1 | 500 | 1.1626 |
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+ | 1.3387 | 0.2 | 1000 | 1.1793 |
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+ | 1.3238 | 0.3 | 1500 | 1.1547 |
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+ | 1.2922 | 0.4 | 2000 | 1.1490 |
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+ | 1.207 | 0.5 | 2500 | 1.1547 |
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+ | 1.2783 | 0.6 | 3000 | 1.1411 |
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+ | 1.1547 | 0.7 | 3500 | 1.1533 |
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+ | 1.2059 | 0.8 | 4000 | 1.1394 |
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+ | 1.1619 | 0.9 | 4500 | 1.1336 |
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+ | 1.1446 | 1.0 | 5000 | 1.1416 |
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+ | 1.1214 | 1.1 | 5500 | 1.1288 |
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+ | 1.0627 | 1.2 | 6000 | 1.1438 |
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+ | 1.0972 | 1.3 | 6500 | 1.1215 |
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+ | 1.083 | 1.4 | 7000 | 1.1511 |
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+ | 1.0687 | 1.5 | 7500 | 1.1294 |
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+ | 1.1295 | 1.6 | 8000 | 1.1119 |
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+ | 1.0645 | 1.7 | 8500 | 1.1202 |
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+ | 1.0281 | 1.8 | 9000 | 1.1277 |
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+ | 1.0819 | 1.9 | 9500 | 1.1072 |
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+ | 1.0306 | 2.0 | 10000 | 1.1110 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.0.dev0
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
config.json ADDED
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+ {
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+ "_name_or_path": "facebook/bart-large",
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+ "activation_dropout": 0.1,
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+ "activation_function": "gelu",
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+ "add_bias_logits": false,
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+ "add_final_layer_norm": false,
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+ "architectures": [
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+ "BartForConditionalGeneration"
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+ ],
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+ "attention_dropout": 0.1,
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+ "bos_token_id": 0,
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+ "early_stopping": true,
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+ "encoder_layerdrop": 0.0,
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+ "eos_token_id": 2,
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+ "gradient_checkpointing": false,
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+ "id2label": {
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+ "0": "LABEL_0",
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+ "max_position_embeddings": 1024,
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+ "model_type": "bart",
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+ "no_repeat_ngram_size": 3,
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+ "normalize_before": false,
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+ "num_beams": 4,
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+ "pad_token_id": 1,
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+ "task_specific_params": {
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+ "summarization": {
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+ "num_beams": 6
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+ }
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+ },
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.36.0.dev0",
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
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