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tiny_llama_instruct_generation

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kevinautomation/TinyLlama-1.1B-intermediate-step-1431k-3T_reddit_expert

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Files changed (9) hide show
  1. README.md +112 -0
  2. adapter_config.json +27 -0
  3. adapter_model.safetensors +3 -0
  4. runs/Feb08_00-46-28_bb80b7a1d771/events.out.tfevents.1707353193.bb80b7a1d771.5603.0 +3 -0
  5. special_tokens_map.json +24 -0
  6. tokenizer.json +0 -0
  7. tokenizer.model +3 -0
  8. tokenizer_config.json +41 -0
  9. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ library_name: peft
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+ tags:
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+ - trl
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+ - sft
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+ - generated_from_trainer
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+ datasets:
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+ - generator
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+ base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
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+ model-index:
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+ - name: tiny_llama_instruct_generation
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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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+ # tiny_llama_instruct_generation
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+
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+ This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.0919
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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: 0.0002
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+ - train_batch_size: 4
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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: constant
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+ - lr_scheduler_warmup_steps: 0.03
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+ - num_epochs: 2
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.3923 | 0.04 | 20 | 2.3466 |
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+ | 2.2664 | 0.08 | 40 | 2.2596 |
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+ | 2.1909 | 0.12 | 60 | 2.1966 |
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+ | 2.1885 | 0.16 | 80 | 2.1737 |
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+ | 2.1536 | 0.2 | 100 | 2.1553 |
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+ | 2.1255 | 0.24 | 120 | 2.1426 |
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+ | 2.1298 | 0.29 | 140 | 2.1318 |
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+ | 2.0497 | 0.33 | 160 | 2.1242 |
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+ | 2.0967 | 0.37 | 180 | 2.1198 |
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+ | 2.1252 | 0.41 | 200 | 2.1160 |
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+ | 2.1051 | 0.45 | 220 | 2.1139 |
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+ | 2.0848 | 0.49 | 240 | 2.1121 |
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+ | 2.1562 | 0.53 | 260 | 2.1104 |
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+ | 2.1043 | 0.57 | 280 | 2.1088 |
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+ | 2.0865 | 0.61 | 300 | 2.1075 |
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+ | 2.0729 | 0.65 | 320 | 2.1065 |
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+ | 2.1046 | 0.69 | 340 | 2.1059 |
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+ | 2.1398 | 0.73 | 360 | 2.1050 |
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+ | 2.0928 | 0.78 | 380 | 2.1035 |
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+ | 2.1055 | 0.82 | 400 | 2.1027 |
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+ | 2.0327 | 0.86 | 420 | 2.1017 |
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+ | 2.0904 | 0.9 | 440 | 2.1012 |
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+ | 2.0922 | 0.94 | 460 | 2.1006 |
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+ | 2.0911 | 0.98 | 480 | 2.0997 |
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+ | 2.1063 | 1.02 | 500 | 2.0994 |
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+ | 2.1296 | 1.06 | 520 | 2.0993 |
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+ | 2.1051 | 1.1 | 540 | 2.0986 |
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+ | 2.0919 | 1.14 | 560 | 2.0982 |
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+ | 2.0608 | 1.18 | 580 | 2.0977 |
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+ | 2.0865 | 1.22 | 600 | 2.0966 |
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+ | 2.0912 | 1.27 | 620 | 2.0962 |
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+ | 2.0858 | 1.31 | 640 | 2.0962 |
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+ | 2.0914 | 1.35 | 660 | 2.0961 |
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+ | 2.0542 | 1.39 | 680 | 2.0951 |
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+ | 2.0939 | 1.43 | 700 | 2.0948 |
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+ | 2.0707 | 1.47 | 720 | 2.0942 |
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+ | 2.1158 | 1.51 | 740 | 2.0944 |
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+ | 2.079 | 1.55 | 760 | 2.0941 |
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+ | 2.0232 | 1.59 | 780 | 2.0935 |
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+ | 2.0954 | 1.63 | 800 | 2.0934 |
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+ | 2.079 | 1.67 | 820 | 2.0939 |
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+ | 2.0747 | 1.71 | 840 | 2.0932 |
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+ | 2.0881 | 1.76 | 860 | 2.0926 |
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+ | 2.0319 | 1.8 | 880 | 2.0928 |
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+ | 2.1047 | 1.84 | 900 | 2.0922 |
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+ | 2.0383 | 1.88 | 920 | 2.0923 |
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+ | 2.0602 | 1.92 | 940 | 2.0923 |
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+ | 2.0902 | 1.96 | 960 | 2.0919 |
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+ | 2.0845 | 2.0 | 980 | 2.0919 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.8.2
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+ - Transformers 4.37.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.1
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