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kevinautomation/Llama-2-7b-hf_project_ask_reddit

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README.md CHANGED
@@ -1,5 +1,4 @@
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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
@@ -7,7 +6,7 @@ tags:
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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: []
@@ -18,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # tiny_llama_instruct_generation
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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: 2.0948
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  ## Model description
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@@ -52,31 +51,31 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 2.3941 | 0.01 | 20 | 2.3714 |
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- | 2.3059 | 0.01 | 40 | 2.2499 |
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- | 2.2079 | 0.02 | 60 | 2.2003 |
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- | 2.1916 | 0.02 | 80 | 2.1705 |
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- | 2.1766 | 0.03 | 100 | 2.1457 |
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- | 2.1583 | 0.03 | 120 | 2.1343 |
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- | 2.1204 | 0.04 | 140 | 2.1238 |
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- | 2.1493 | 0.04 | 160 | 2.1187 |
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- | 2.1408 | 0.05 | 180 | 2.1145 |
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- | 2.1331 | 0.06 | 200 | 2.1116 |
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- | 2.1736 | 0.06 | 220 | 2.1094 |
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- | 2.1299 | 0.07 | 240 | 2.1072 |
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- | 2.1389 | 0.07 | 260 | 2.1050 |
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- | 2.1164 | 0.08 | 280 | 2.1050 |
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- | 2.1115 | 0.08 | 300 | 2.1040 |
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- | 2.1139 | 0.09 | 320 | 2.1024 |
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- | 2.1158 | 0.1 | 340 | 2.1021 |
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- | 2.1342 | 0.1 | 360 | 2.1001 |
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- | 2.1006 | 0.11 | 380 | 2.0989 |
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- | 2.1287 | 0.11 | 400 | 2.0990 |
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- | 2.1287 | 0.12 | 420 | 2.0975 |
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- | 2.1573 | 0.12 | 440 | 2.0967 |
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- | 2.119 | 0.13 | 460 | 2.0948 |
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- | 2.1301 | 0.13 | 480 | 2.0947 |
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- | 2.0913 | 0.14 | 500 | 2.0948 |
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  ### Framework versions
 
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  ---
 
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  library_name: peft
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  tags:
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  - trl
 
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  - generated_from_trainer
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  datasets:
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  - generator
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+ base_model: NousResearch/Llama-2-7b-hf
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  model-index:
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  - name: tiny_llama_instruct_generation
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  results: []
 
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  # tiny_llama_instruct_generation
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+ This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the generator dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.8500
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.0445 | 0.01 | 20 | 2.0291 |
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+ | 1.9813 | 0.01 | 40 | 1.9775 |
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+ | 1.9752 | 0.02 | 60 | 1.9477 |
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+ | 1.953 | 0.02 | 80 | 1.8977 |
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+ | 1.9054 | 0.03 | 100 | 1.8774 |
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+ | 1.8665 | 0.03 | 120 | 1.8699 |
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+ | 1.845 | 0.04 | 140 | 1.8648 |
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+ | 1.8487 | 0.04 | 160 | 1.8626 |
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+ | 1.8557 | 0.05 | 180 | 1.8604 |
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+ | 1.8451 | 0.06 | 200 | 1.8589 |
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+ | 1.8557 | 0.06 | 220 | 1.8578 |
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+ | 1.7733 | 0.07 | 240 | 1.8570 |
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+ | 1.8652 | 0.07 | 260 | 1.8562 |
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+ | 1.8178 | 0.08 | 280 | 1.8552 |
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+ | 1.8102 | 0.08 | 300 | 1.8546 |
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+ | 1.8275 | 0.09 | 320 | 1.8541 |
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+ | 1.8405 | 0.1 | 340 | 1.8533 |
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+ | 1.8319 | 0.1 | 360 | 1.8530 |
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+ | 1.8411 | 0.11 | 380 | 1.8526 |
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+ | 1.8562 | 0.11 | 400 | 1.8520 |
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+ | 1.8505 | 0.12 | 420 | 1.8516 |
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+ | 1.8132 | 0.12 | 440 | 1.8514 |
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+ | 1.901 | 0.13 | 460 | 1.8509 |
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+ | 1.8138 | 0.13 | 480 | 1.8506 |
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+ | 1.8209 | 0.14 | 500 | 1.8500 |
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  ### Framework versions
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@@ -1,7 +1,7 @@
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@@ -19,8 +19,8 @@
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