adamjweintraut
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adamjweintraut/bart-finetuned-eli5_lfqa
Browse files- README.md +57 -0
- config.json +74 -0
- generation_config.json +13 -0
- model.safetensors +3 -0
- runs/Nov27_00-07-45_0b1296441323/events.out.tfevents.1701043666.0b1296441323.458.0 +3 -0
- runs/Nov27_07-02-13_0b1296441323/events.out.tfevents.1701068534.0b1296441323.458.1 +3 -0
- runs/Nov27_07-56-23_0b1296441323/events.out.tfevents.1701071784.0b1296441323.458.2 +3 -0
- runs/Nov27_08-58-29_0b1296441323/events.out.tfevents.1701075509.0b1296441323.458.3 +3 -0
- runs/Nov27_09-02-49_0b1296441323/events.out.tfevents.1701075770.0b1296441323.139000.0 +3 -0
- runs/Nov27_11-49-48_0b1296441323/events.out.tfevents.1701085788.0b1296441323.181187.0 +3 -0
- runs/Nov27_17-22-17_0b1296441323/events.out.tfevents.1701105738.0b1296441323.263535.0 +3 -0
- runs/Nov27_17-28-12_0b1296441323/events.out.tfevents.1701106093.0b1296441323.265554.0 +3 -0
- runs/Nov27_17-50-20_0b1296441323/events.out.tfevents.1701107421.0b1296441323.265554.1 +3 -0
- runs/Nov27_17-52-01_0b1296441323/events.out.tfevents.1701107521.0b1296441323.265554.2 +3 -0
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- runs/Nov27_18-10-31_0b1296441323/events.out.tfevents.1701108632.0b1296441323.276715.0 +3 -0
- runs/Nov27_18-20-53_0b1296441323/events.out.tfevents.1701109253.0b1296441323.279430.0 +3 -0
- training_args.bin +3 -0
README.md
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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
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results: []
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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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# bart-finetuned-eli5_lfqa
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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: 2.7775
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 16
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- eval_batch_size: 16
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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: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.8956 | 1.0 | 1251 | 2.7775 |
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### Framework versions
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- Transformers 4.35.2
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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
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config.json
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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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"classif_dropout": 0.1,
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"classifier_dropout": 0.0,
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"d_model": 1024,
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"decoder_attention_heads": 16,
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"decoder_ffn_dim": 4096,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 12,
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"decoder_start_token_id": 2,
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"dropout": 0.1,
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"early_stopping": true,
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"encoder_attention_heads": 16,
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"encoder_ffn_dim": 4096,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 12,
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"eos_token_id": 2,
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"forced_bos_token_id": 0,
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"forced_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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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"init_std": 0.02,
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"is_encoder_decoder": true,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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},
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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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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"scale_embedding": false,
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"task_specific_params": {
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"summarization": {
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"length_penalty": 1.0,
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"max_length": 128,
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"min_length": 12,
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"num_beams": 4
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},
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"summarization_cnn": {
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"length_penalty": 2.0,
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"max_length": 142,
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"min_length": 56,
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"num_beams": 4
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},
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"summarization_xsum": {
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"length_penalty": 1.0,
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"max_length": 62,
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"min_length": 11,
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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": "4.35.2",
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"use_cache": true,
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"vocab_size": 50265
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}
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generation_config.json
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