nandavikas16
commited on
Model save
Browse files- .gitattributes +1 -0
- README.md +82 -0
- config.json +34 -0
- generation_config.json +6 -0
- model.safetensors +3 -0
- runs/Feb25_17-25-21_nbqbdwuqbg/events.out.tfevents.1708881925.nbqbdwuqbg.1417.0 +3 -0
- runs/Feb25_17-25-21_nbqbdwuqbg/events.out.tfevents.1708882306.nbqbdwuqbg.1417.1 +3 -0
- special_tokens_map.json +17 -0
- spiece.model +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +39 -0
- training_args.bin +3 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: apache-2.0
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base_model: google/mt5-large
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tags:
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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: mt5-large-finetuned-scope-summarization
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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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# mt5-large-finetuned-scope-summarization
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This model is a fine-tuned version of [google/mt5-large](https://huggingface.co/google/mt5-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 7.7968
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- Rouge1: 8.9288
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- Rouge2: 2.5195
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- Rougel: 8.1326
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- Rougelsum: 8.2266
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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: 5.6e-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: 20
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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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| 24.9681 | 1.0 | 13 | 14.1263 | 9.679 | 1.2781 | 9.2044 | 9.2028 |
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| 19.4912 | 2.0 | 26 | 13.8332 | 10.3322 | 2.2934 | 10.0898 | 9.9917 |
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| 18.9675 | 3.0 | 39 | 14.5743 | 10.644 | 2.4553 | 10.4176 | 10.3855 |
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| 23.2647 | 4.0 | 52 | 16.1424 | 9.4387 | 1.9352 | 8.8508 | 8.8573 |
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| 25.5379 | 5.0 | 65 | 16.1511 | 8.9967 | 2.3549 | 8.6046 | 8.666 |
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| 23.0787 | 6.0 | 78 | 15.0432 | 9.4838 | 2.3778 | 9.0507 | 9.1552 |
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| 20.5359 | 7.0 | 91 | 12.4876 | 8.9692 | 2.5655 | 8.5533 | 8.6442 |
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| 18.6638 | 8.0 | 104 | 10.5506 | 10.5377 | 2.5387 | 9.4585 | 9.3817 |
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| 15.6668 | 9.0 | 117 | 10.4213 | 11.1515 | 2.3781 | 10.5545 | 10.6241 |
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| 16.0823 | 10.0 | 130 | 9.7474 | 11.3564 | 2.6133 | 10.5169 | 10.5736 |
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| 16.189 | 11.0 | 143 | 9.3992 | 10.5378 | 3.3175 | 9.2739 | 9.4737 |
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| 14.6943 | 12.0 | 156 | 9.1679 | 9.8364 | 2.942 | 8.991 | 9.0988 |
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| 13.9725 | 13.0 | 169 | 9.4899 | 9.1523 | 2.6655 | 8.499 | 8.6962 |
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| 14.0998 | 14.0 | 182 | 8.4480 | 9.7567 | 2.9029 | 8.2077 | 8.3139 |
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| 13.2 | 15.0 | 195 | 8.2385 | 9.9148 | 2.9029 | 8.1975 | 8.3074 |
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| 13.1084 | 16.0 | 208 | 8.0442 | 8.1004 | 2.2435 | 7.4792 | 7.5977 |
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| 13.6186 | 17.0 | 221 | 7.9349 | 8.2995 | 2.2435 | 7.4792 | 7.5977 |
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| 12.6013 | 18.0 | 234 | 7.8921 | 8.5692 | 2.5238 | 7.7018 | 7.8229 |
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| 12.8011 | 19.0 | 247 | 7.8561 | 8.5692 | 2.5238 | 7.7018 | 7.8229 |
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| 12.9507 | 20.0 | 260 | 7.7968 | 8.9288 | 2.5195 | 8.1326 | 8.2266 |
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### Framework versions
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- Transformers 4.38.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.17.1
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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": "google/mt5-large",
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"architectures": [
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"MT5ForConditionalGeneration"
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],
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"classifier_dropout": 0.0,
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"d_ff": 2816,
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"d_kv": 64,
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"d_model": 1024,
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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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"eos_token_id": 1,
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"feed_forward_proj": "gated-gelu",
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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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"model_type": "mt5",
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"num_decoder_layers": 24,
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"num_heads": 16,
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"num_layers": 24,
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"output_past": true,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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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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"tokenizer_class": "T5Tokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.38.1",
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"use_cache": false,
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"vocab_size": 250112
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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": "4.38.1"
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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 sha256:1d2c5abffec91d11dff133bd54297ebc2dbaefb9f1e73abd410f92aeb7db9bde
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size 4918393736
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runs/Feb25_17-25-21_nbqbdwuqbg/events.out.tfevents.1708881925.nbqbdwuqbg.1417.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:38c5a2a745ba8d2b0b4a185b52b74e8760bb5f859089bd13e6bb338f3bf2e7ea
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size 19093
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runs/Feb25_17-25-21_nbqbdwuqbg/events.out.tfevents.1708882306.nbqbdwuqbg.1417.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:bfa60abdeabc3cc232a3c5a2b385b34bcb2287ad8bdee02741a07ddc31ce0945
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size 514
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special_tokens_map.json
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{
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "</s>",
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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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:ef78f86560d809067d12bac6c09f19a462cb3af3f54d2b8acbba26e1433125d6
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size 4309802
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:896dd34aaf0cdc200ceadaf33d83393d41f46b603b48f05fba3f75620efc725e
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size 16330826
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tokenizer_config.json
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{
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"add_prefix_space": true,
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"added_tokens_decoder": {
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"0": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [],
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"clean_up_tokenization_spaces": true,
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"eos_token": "</s>",
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"extra_ids": 0,
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"legacy": true,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "</s>",
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"sp_model_kwargs": {},
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"tokenizer_class": "T5Tokenizer",
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"unk_token": "<unk>"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:65a6d6b8acd3b2ffc2ec69f42254d701e075cf3d4af882b4046e18d6e8d6ae4d
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size 5112
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