manimaranpa07
commited on
Commit
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End of training
Browse files- README.md +53 -0
- config.json +52 -0
- model.safetensors +3 -0
- training_args.bin +3 -0
README.md
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---
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license: mit
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base_model: facebook/bart-large-mnli
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tags:
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- generated_from_trainer
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model-index:
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- name: results
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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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# results
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This model is a fine-tuned version of [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7459
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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: 8
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- eval_batch_size: 8
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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: 3
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### Training results
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.1.0+cu121
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- Tokenizers 0.15.2
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config.json
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{
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"_name_or_path": "facebook/bart-large-mnli",
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"_num_labels": 3,
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"add_final_layer_norm": false,
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"architectures": [
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"BartForSequenceClassification"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"classif_dropout": 0.0,
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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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"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_eos_token_id": 2,
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"gradient_checkpointing": false,
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"id2label": {
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"0": "contradiction",
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"1": "neutral",
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"2": "entailment"
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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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"contradiction": 0,
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"entailment": 2,
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"neutral": 1
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},
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"max_position_embeddings": 1024,
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"model_type": "bart",
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"normalize_before": false,
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"num_hidden_layers": 12,
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"output_past": false,
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"pad_token_id": 1,
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"problem_type": "single_label_classification",
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"scale_embedding": false,
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"torch_dtype": "float32",
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"transformers_version": "4.38.2",
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"use_cache": true,
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"vocab_size": 50265
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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 sha256:0b3ade64ac7a93f3049c469b7bd045c2622f8b774ebbcd8cde085d29aa0b57e3
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size 1629436964
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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:aeae3cc8c2ec456b54cfeb8058e6a0735c92ba9c5b602a6643655c92341dead6
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size 4856
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