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Parent(s):
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End of training
Browse files
README.md
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---
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license: apache-2.0
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base_model: facebook/bart-base
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tags:
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- generated_from_trainer
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model-index:
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- name: BARTModel_ExerciseLog
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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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# BARTModel_ExerciseLog
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.7026
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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: 2e-05
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- train_batch_size: 2000
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- eval_batch_size: 400
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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: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 1 | 7.3041 |
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| No log | 2.0 | 2 | 5.6712 |
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| No log | 3.0 | 3 | 4.9672 |
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| No log | 4.0 | 4 | 4.5629 |
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| No log | 5.0 | 5 | 4.3160 |
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| No log | 6.0 | 6 | 4.1601 |
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| No log | 7.0 | 7 | 4.0556 |
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| No log | 8.0 | 8 | 3.9802 |
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| No log | 9.0 | 9 | 3.9111 |
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| No log | 10.0 | 10 | 3.8495 |
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| No log | 11.0 | 11 | 3.7991 |
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| No log | 12.0 | 12 | 3.7606 |
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| No log | 13.0 | 13 | 3.7318 |
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| No log | 14.0 | 14 | 3.7124 |
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| No log | 15.0 | 15 | 3.7026 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "facebook/bart-base",
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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": 768,
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"decoder_attention_heads": 12,
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"decoder_ffn_dim": 3072,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 6,
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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": 12,
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"encoder_ffn_dim": 3072,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 6,
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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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"normalize_embedding": true,
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"num_beams": 4,
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"num_hidden_layers": 6,
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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": "4.41.2",
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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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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"decoder_start_token_id": 2,
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"early_stopping": true,
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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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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"pad_token_id": 1,
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"transformers_version": "4.41.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:907693eec2a00089c5ac6bdaff109742e35157cce1906e5e44af41a79a7bdb23
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size 557912620
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runs/Jul07_13-22-54_50fca04dff89/events.out.tfevents.1720358574.50fca04dff89.375.1
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version https://git-lfs.github.com/spec/v1
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runs/Jul07_13-23-22_50fca04dff89/events.out.tfevents.1720358602.50fca04dff89.375.2
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version https://git-lfs.github.com/spec/v1
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:d7cde51577ed73edf090143413c5972463f713fdc198fb6f8efe4d6f81a0f7a3
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size 5240
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