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tsavage68
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Transaminitis_L3_1000steps_1e8rate_03beta_CSFTDPO

Text Generation
Transformers
Safetensors
llama
trl
dpo
Generated from Trainer
conversational
text-generation-inference
Inference Endpoints
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  1. README.md +109 -0
  2. config.json +28 -0
  3. final_checkpoint/config.json +28 -0
  4. final_checkpoint/generation_config.json +12 -0
  5. final_checkpoint/model-00001-of-00004.safetensors +3 -0
  6. final_checkpoint/model-00002-of-00004.safetensors +3 -0
  7. final_checkpoint/model-00003-of-00004.safetensors +3 -0
  8. final_checkpoint/model-00004-of-00004.safetensors +3 -0
  9. final_checkpoint/model.safetensors.index.json +298 -0
  10. generation_config.json +12 -0
  11. model-00001-of-00004.safetensors +3 -0
  12. model-00002-of-00004.safetensors +3 -0
  13. model-00003-of-00004.safetensors +3 -0
  14. model-00004-of-00004.safetensors +3 -0
  15. model.safetensors.index.json +298 -0
  16. special_tokens_map.json +17 -0
  17. tokenizer.json +0 -0
  18. tokenizer_config.json +2067 -0
  19. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: llama3
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+ base_model: tsavage68/Transaminitis_L3_1000rate_1e7_SFT
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+ tags:
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+ - trl
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+ - dpo
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+ - generated_from_trainer
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+ model-index:
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+ - name: Transaminitis_L3_1000steps_1e8rate_03beta_CSFTDPO
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+ results: []
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+ ---
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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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+
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+ # Transaminitis_L3_1000steps_1e8rate_03beta_CSFTDPO
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+
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+ This model is a fine-tuned version of [tsavage68/Transaminitis_L3_1000rate_1e7_SFT](https://huggingface.co/tsavage68/Transaminitis_L3_1000rate_1e7_SFT) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6938
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+ - Rewards/chosen: -0.0044
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+ - Rewards/rejected: -0.0034
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+ - Rewards/accuracies: 0.4600
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+ - Rewards/margins: -0.0010
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+ - Logps/rejected: -18.5659
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+ - Logps/chosen: -18.5488
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+ - Logits/rejected: -1.0662
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+ - Logits/chosen: -1.0650
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-08
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+ - train_batch_size: 2
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 4
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 100
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+ - training_steps: 1000
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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+ | 0.6931 | 0.2 | 25 | 0.6931 | 0.0003 | 0.0002 | 0.0100 | 0.0001 | -18.5542 | -18.5333 | -1.0657 | -1.0646 |
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+ | 0.6943 | 0.4 | 50 | 0.6935 | -0.0007 | -0.0003 | 0.4600 | -0.0004 | -18.5558 | -18.5367 | -1.0656 | -1.0644 |
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+ | 0.6957 | 0.6 | 75 | 0.6938 | 0.0071 | 0.0080 | 0.4400 | -0.0009 | -18.5281 | -18.5105 | -1.0654 | -1.0642 |
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+ | 0.6953 | 0.8 | 100 | 0.6954 | 0.0028 | 0.0069 | 0.4900 | -0.0041 | -18.5318 | -18.5250 | -1.0656 | -1.0645 |
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+ | 0.6934 | 1.0 | 125 | 0.6919 | 0.0084 | 0.0055 | 0.4600 | 0.0029 | -18.5364 | -18.5063 | -1.0643 | -1.0632 |
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+ | 0.6983 | 1.2 | 150 | 0.6927 | 0.0042 | 0.0030 | 0.4800 | 0.0012 | -18.5447 | -18.5201 | -1.0653 | -1.0641 |
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+ | 0.6949 | 1.4 | 175 | 0.6927 | 0.0065 | 0.0052 | 0.4800 | 0.0013 | -18.5374 | -18.5126 | -1.0657 | -1.0646 |
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+ | 0.6897 | 1.6 | 200 | 0.6935 | 0.0063 | 0.0067 | 0.4800 | -0.0004 | -18.5323 | -18.5132 | -1.0660 | -1.0649 |
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+ | 0.6935 | 1.8 | 225 | 0.6957 | -0.0013 | 0.0034 | 0.4300 | -0.0047 | -18.5435 | -18.5385 | -1.0650 | -1.0638 |
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+ | 0.6877 | 2.0 | 250 | 0.6932 | 0.0011 | 0.0007 | 0.4900 | 0.0003 | -18.5522 | -18.5307 | -1.0650 | -1.0639 |
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+ | 0.6916 | 2.2 | 275 | 0.6927 | 0.0018 | 0.0005 | 0.5700 | 0.0014 | -18.5532 | -18.5281 | -1.0656 | -1.0644 |
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+ | 0.6941 | 2.4 | 300 | 0.6901 | 0.0026 | -0.0038 | 0.5400 | 0.0064 | -18.5675 | -18.5257 | -1.0655 | -1.0644 |
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+ | 0.6912 | 2.6 | 325 | 0.6965 | 0.0013 | 0.0076 | 0.4200 | -0.0063 | -18.5294 | -18.5298 | -1.0658 | -1.0647 |
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+ | 0.6875 | 2.8 | 350 | 0.6923 | 0.0009 | -0.0013 | 0.5400 | 0.0022 | -18.5592 | -18.5313 | -1.0654 | -1.0644 |
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+ | 0.6921 | 3.0 | 375 | 0.6913 | 0.0116 | 0.0075 | 0.5300 | 0.0041 | -18.5297 | -18.4955 | -1.0657 | -1.0646 |
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+ | 0.6928 | 3.2 | 400 | 0.6960 | 0.0035 | 0.0087 | 0.4900 | -0.0052 | -18.5258 | -18.5226 | -1.0662 | -1.0649 |
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+ | 0.6945 | 3.4 | 425 | 0.6967 | 0.0049 | 0.0114 | 0.4600 | -0.0066 | -18.5165 | -18.5179 | -1.0654 | -1.0644 |
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+ | 0.6899 | 3.6 | 450 | 0.6943 | 0.0076 | 0.0096 | 0.4700 | -0.0020 | -18.5227 | -18.5089 | -1.0658 | -1.0646 |
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+ | 0.6933 | 3.8 | 475 | 0.6963 | 0.0045 | 0.0103 | 0.4500 | -0.0058 | -18.5204 | -18.5192 | -1.0651 | -1.0639 |
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+ | 0.6967 | 4.0 | 500 | 0.6936 | 0.0034 | 0.0039 | 0.5100 | -0.0006 | -18.5416 | -18.5230 | -1.0657 | -1.0645 |
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+ | 0.6915 | 4.2 | 525 | 0.6936 | -0.0023 | -0.0018 | 0.4600 | -0.0005 | -18.5607 | -18.5418 | -1.0658 | -1.0645 |
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+ | 0.6893 | 4.4 | 550 | 0.6946 | 0.0002 | 0.0027 | 0.5100 | -0.0026 | -18.5455 | -18.5337 | -1.0661 | -1.0648 |
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+ | 0.6938 | 4.6 | 575 | 0.6946 | 0.0070 | 0.0095 | 0.5700 | -0.0025 | -18.5230 | -18.5109 | -1.0659 | -1.0647 |
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+ | 0.6924 | 4.8 | 600 | 0.6959 | 0.0050 | 0.0101 | 0.4800 | -0.0051 | -18.5209 | -18.5174 | -1.0661 | -1.0650 |
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+ | 0.6878 | 5.0 | 625 | 0.6966 | 0.0041 | 0.0106 | 0.4500 | -0.0065 | -18.5193 | -18.5205 | -1.0660 | -1.0648 |
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+ | 0.6935 | 5.2 | 650 | 0.6949 | 0.0079 | 0.0110 | 0.5100 | -0.0031 | -18.5180 | -18.5079 | -1.0659 | -1.0649 |
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+ | 0.6953 | 5.4 | 675 | 0.6931 | 0.0071 | 0.0067 | 0.5100 | 0.0004 | -18.5325 | -18.5107 | -1.0662 | -1.0651 |
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+ | 0.6947 | 5.6 | 700 | 0.6945 | -0.0049 | -0.0026 | 0.5100 | -0.0023 | -18.5632 | -18.5505 | -1.0662 | -1.0651 |
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+ | 0.688 | 5.8 | 725 | 0.6933 | -0.0016 | -0.0017 | 0.4900 | 0.0001 | -18.5604 | -18.5394 | -1.0662 | -1.0650 |
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+ | 0.6953 | 6.0 | 750 | 0.6937 | -0.0044 | -0.0037 | 0.4600 | -0.0007 | -18.5670 | -18.5489 | -1.0662 | -1.0651 |
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+ | 0.6921 | 6.2 | 775 | 0.6933 | -0.0041 | -0.0042 | 0.4700 | 0.0001 | -18.5686 | -18.5478 | -1.0661 | -1.0650 |
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+ | 0.6942 | 6.4 | 800 | 0.6934 | -0.0030 | -0.0028 | 0.4700 | -0.0003 | -18.5640 | -18.5443 | -1.0661 | -1.0650 |
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+ | 0.69 | 6.6 | 825 | 0.6939 | -0.0039 | -0.0028 | 0.4600 | -0.0011 | -18.5640 | -18.5473 | -1.0662 | -1.0651 |
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+ | 0.6928 | 6.8 | 850 | 0.6938 | -0.0044 | -0.0034 | 0.4600 | -0.0010 | -18.5659 | -18.5488 | -1.0662 | -1.0650 |
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+ | 0.6957 | 7.0 | 875 | 0.6938 | -0.0044 | -0.0034 | 0.4600 | -0.0010 | -18.5659 | -18.5488 | -1.0662 | -1.0650 |
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+ | 0.697 | 7.2 | 900 | 0.6938 | -0.0044 | -0.0034 | 0.4600 | -0.0010 | -18.5659 | -18.5488 | -1.0662 | -1.0650 |
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+ | 0.693 | 7.4 | 925 | 0.6938 | -0.0044 | -0.0034 | 0.4600 | -0.0010 | -18.5659 | -18.5488 | -1.0662 | -1.0650 |
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+ | 0.6964 | 7.6 | 950 | 0.6938 | -0.0044 | -0.0034 | 0.4600 | -0.0010 | -18.5659 | -18.5488 | -1.0662 | -1.0650 |
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+ | 0.6934 | 7.8 | 975 | 0.6938 | -0.0044 | -0.0034 | 0.4600 | -0.0010 | -18.5659 | -18.5488 | -1.0662 | -1.0650 |
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+ | 0.6865 | 8.0 | 1000 | 0.6938 | -0.0044 | -0.0034 | 0.4600 | -0.0010 | -18.5659 | -18.5488 | -1.0662 | -1.0650 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.2
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+ - Pytorch 2.0.0+cu117
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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+ "lstrip": false,
1966
+ "normalized": false,
1967
+ "rstrip": false,
1968
+ "single_word": false,
1969
+ "special": true
1970
+ },
1971
+ "128246": {
1972
+ "content": "<|reserved_special_token_241|>",
1973
+ "lstrip": false,
1974
+ "normalized": false,
1975
+ "rstrip": false,
1976
+ "single_word": false,
1977
+ "special": true
1978
+ },
1979
+ "128247": {
1980
+ "content": "<|reserved_special_token_242|>",
1981
+ "lstrip": false,
1982
+ "normalized": false,
1983
+ "rstrip": false,
1984
+ "single_word": false,
1985
+ "special": true
1986
+ },
1987
+ "128248": {
1988
+ "content": "<|reserved_special_token_243|>",
1989
+ "lstrip": false,
1990
+ "normalized": false,
1991
+ "rstrip": false,
1992
+ "single_word": false,
1993
+ "special": true
1994
+ },
1995
+ "128249": {
1996
+ "content": "<|reserved_special_token_244|>",
1997
+ "lstrip": false,
1998
+ "normalized": false,
1999
+ "rstrip": false,
2000
+ "single_word": false,
2001
+ "special": true
2002
+ },
2003
+ "128250": {
2004
+ "content": "<|reserved_special_token_245|>",
2005
+ "lstrip": false,
2006
+ "normalized": false,
2007
+ "rstrip": false,
2008
+ "single_word": false,
2009
+ "special": true
2010
+ },
2011
+ "128251": {
2012
+ "content": "<|reserved_special_token_246|>",
2013
+ "lstrip": false,
2014
+ "normalized": false,
2015
+ "rstrip": false,
2016
+ "single_word": false,
2017
+ "special": true
2018
+ },
2019
+ "128252": {
2020
+ "content": "<|reserved_special_token_247|>",
2021
+ "lstrip": false,
2022
+ "normalized": false,
2023
+ "rstrip": false,
2024
+ "single_word": false,
2025
+ "special": true
2026
+ },
2027
+ "128253": {
2028
+ "content": "<|reserved_special_token_248|>",
2029
+ "lstrip": false,
2030
+ "normalized": false,
2031
+ "rstrip": false,
2032
+ "single_word": false,
2033
+ "special": true
2034
+ },
2035
+ "128254": {
2036
+ "content": "<|reserved_special_token_249|>",
2037
+ "lstrip": false,
2038
+ "normalized": false,
2039
+ "rstrip": false,
2040
+ "single_word": false,
2041
+ "special": true
2042
+ },
2043
+ "128255": {
2044
+ "content": "<|reserved_special_token_250|>",
2045
+ "lstrip": false,
2046
+ "normalized": false,
2047
+ "rstrip": false,
2048
+ "single_word": false,
2049
+ "special": true
2050
+ }
2051
+ },
2052
+ "bos_token": "<|begin_of_text|>",
2053
+ "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
2054
+ "clean_up_tokenization_spaces": true,
2055
+ "eos_token": "<|eot_id|>",
2056
+ "max_length": 1024,
2057
+ "model_input_names": [
2058
+ "input_ids",
2059
+ "attention_mask"
2060
+ ],
2061
+ "model_max_length": 1000000000000000019884624838656,
2062
+ "pad_token": "<|eot_id|>",
2063
+ "stride": 0,
2064
+ "tokenizer_class": "PreTrainedTokenizerFast",
2065
+ "truncation_side": "right",
2066
+ "truncation_strategy": "longest_first"
2067
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ size 4539