RMWeerasinghe
commited on
Commit
•
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Parent(s):
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Training complete
Browse files- README.md +85 -0
- added_tokens.json +3 -0
- config.json +36 -0
- generation_config.json +6 -0
- model.safetensors +3 -0
- special_tokens_map.json +125 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +952 -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: RMWeerasinghe/long-t5-tglobal-base-finetuned-govReport-4096
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tags:
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- summarization
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: long-t5-tglobal-base-boardpapers-4096
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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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# long-t5-tglobal-base-boardpapers-4096
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This model is a fine-tuned version of [RMWeerasinghe/long-t5-tglobal-base-finetuned-govReport-4096](https://huggingface.co/RMWeerasinghe/long-t5-tglobal-base-finetuned-govReport-4096) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5617
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- Rouge1: 0.0743
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- Rouge2: 0.0398
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- Rougel: 0.0589
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- Rougelsum: 0.0703
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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: 4e-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: 8
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- total_train_batch_size: 32
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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: 30
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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| No log | 0.67 | 1 | 0.6654 | 0.0514 | 0.0197 | 0.0386 | 0.0477 |
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| No log | 2.0 | 3 | 0.6378 | 0.0667 | 0.0309 | 0.0512 | 0.0596 |
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| No log | 2.67 | 4 | 0.6293 | 0.0646 | 0.0274 | 0.0515 | 0.0619 |
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| No log | 4.0 | 6 | 0.6128 | 0.0706 | 0.0377 | 0.0566 | 0.067 |
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| No log | 4.67 | 7 | 0.6049 | 0.0706 | 0.0377 | 0.0566 | 0.067 |
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| No log | 6.0 | 9 | 0.5935 | 0.0706 | 0.0377 | 0.0566 | 0.067 |
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| No log | 6.67 | 10 | 0.5891 | 0.0718 | 0.0385 | 0.0578 | 0.067 |
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| No log | 8.0 | 12 | 0.5815 | 0.0743 | 0.0398 | 0.0589 | 0.0703 |
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| No log | 8.67 | 13 | 0.5785 | 0.0743 | 0.0398 | 0.0589 | 0.0703 |
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| No log | 10.0 | 15 | 0.5742 | 0.0743 | 0.0398 | 0.0589 | 0.0703 |
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| No log | 10.67 | 16 | 0.5724 | 0.0743 | 0.0398 | 0.0589 | 0.0703 |
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| No log | 12.0 | 18 | 0.5694 | 0.0743 | 0.0398 | 0.0589 | 0.0703 |
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| No log | 12.67 | 19 | 0.5681 | 0.0743 | 0.0398 | 0.0589 | 0.0703 |
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| 0.7929 | 14.0 | 21 | 0.5661 | 0.0743 | 0.0398 | 0.0589 | 0.0703 |
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| 0.7929 | 14.67 | 22 | 0.5652 | 0.0743 | 0.0398 | 0.0589 | 0.0703 |
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| 0.7929 | 16.0 | 24 | 0.5636 | 0.0743 | 0.0398 | 0.0589 | 0.0703 |
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| 0.7929 | 16.67 | 25 | 0.5630 | 0.0743 | 0.0398 | 0.0589 | 0.0703 |
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| 0.7929 | 18.0 | 27 | 0.5621 | 0.0743 | 0.0398 | 0.0589 | 0.0703 |
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| 0.7929 | 18.67 | 28 | 0.5619 | 0.0743 | 0.0398 | 0.0589 | 0.0703 |
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| 0.7929 | 20.0 | 30 | 0.5617 | 0.0743 | 0.0398 | 0.0589 | 0.0703 |
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### Framework versions
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- Transformers 4.37.0
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- Pytorch 2.1.2
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- Datasets 2.17.0
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- Tokenizers 0.15.1
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added_tokens.json
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{
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"[PAD]": 32100
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}
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config.json
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{
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"_name_or_path": "RMWeerasinghe/long-t5-tglobal-base-finetuned-govReport-4096",
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"architectures": [
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"LongT5ForConditionalGeneration"
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],
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"d_ff": 2048,
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"d_kv": 64,
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"d_model": 768,
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"decoder_start_token_id": 0,
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"dense_act_fn": "gelu_new",
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"dropout_rate": 0.1,
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"encoder_attention_type": "transient-global",
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"eos_token_id": 1,
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"feed_forward_proj": "gated-gelu",
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"global_block_size": 16,
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"is_gated_act": true,
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"layer_norm_epsilon": 1e-06,
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"local_radius": 127,
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"max_position_embeddings": 4096,
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"model_type": "longt5",
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"n_positions": 4096,
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"num_decoder_layers": 12,
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"num_heads": 12,
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"num_layers": 12,
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"output_past": true,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 32,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.37.0",
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"use_cache": true,
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"vocab_size": 32128
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}
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generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.37.0"
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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 sha256:6ecdae2e04691f3beb40df306c530950a4454e32459ae9a6067150aca8e8b73e
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size 990386200
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special_tokens_map.json
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{
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}
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spiece.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
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size 791656
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tokenizer.json
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tokenizer_config.json
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1 |
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{
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2 |
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3 |
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4 |
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5 |
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13 |
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|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
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version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:78e7af93fe1786412c9c5d0c4ae83624c02f3d1d9ead6b1478d334990a5d0abc
|
3 |
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size 4856
|