Upload 12 files
Browse files- .gitattributes +35 -0
- README.md +60 -0
- config.json +59 -0
- generation_config.json +13 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- runs/Apr07_10-12-52_89788fea77d8/events.out.tfevents.1712484777.89788fea77d8.174.0 +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +57 -0
- training_args.bin +3 -0
- vocab.json +0 -0
.gitattributes
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README.md
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---
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base_model: MingZhong/DialogLED-base-16384
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tags:
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- generated_from_trainer
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- dialogue_summarization
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- summary
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- conversation_summarization
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model-index:
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- name: DialogLED-base-16384-sumsum-finetuned
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results: []
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datasets:
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- samsum
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pipeline_tag: summarization
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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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# DialogLED-base-16384-sumsum-finetuned
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This model is a fine-tuned version of [MingZhong/DialogLED-base-16384](https://huggingface.co/MingZhong/DialogLED-base-16384) on the samsum dataset..
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## Model description
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More information needed
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## Intended uses & limitations
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Used for conversation summarization.
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 64
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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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- lr_scheduler_warmup_steps: 500
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- num_epochs: 1
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### Training results
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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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": "MingZhong/DialogLED-base-16384",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"architectures": [
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"LEDForConditionalGeneration"
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],
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"attention_dropout": 0.0,
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"attention_window": [
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1024,
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1024,
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1024,
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1024,
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1024,
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1024
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],
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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": 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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"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_decoder_position_embeddings": 1024,
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"max_encoder_position_embeddings": 16384,
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"max_length": 128,
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"min_length": 64,
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"model_type": "led",
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"no_repeat_ngram_size": 3,
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"num_beams": 6,
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"num_hidden_layers": 6,
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"pad_token_id": 1,
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"torch_dtype": "float32",
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"transformers_version": "4.39.3",
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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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"early_stopping": true,
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"max_length": 128,
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"min_length": 64,
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"transformers_version": "4.39.3"
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}
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merges.txt
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 647614116
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runs/Apr07_10-12-52_89788fea77d8/events.out.tfevents.1712484777.89788fea77d8.174.0
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special_tokens_map.json
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{
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tokenizer.json
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tokenizer_config.json
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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vocab.json
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