kbrdek37 commited on
Commit
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kbrdek37/llama38binstruct-summary-100s

Browse files
README.md CHANGED
@@ -1,13 +1,13 @@
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  ---
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- license: other
 
 
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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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- base_model: NousResearch/Meta-Llama-3-8B-Instruct
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- datasets:
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- - generator
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  model-index:
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  - name: llama38binstruct_summarize
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  results: []
@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct) on the generator dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.8421
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  ## Model description
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@@ -50,18 +50,18 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:------:|:----:|:---------------:|
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- | 2.3017 | 1.1364 | 25 | 1.8421 |
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- | 2.1505 | 2.2727 | 50 | 1.8421 |
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- | 2.3057 | 3.4091 | 75 | 1.8421 |
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- | 2.3197 | 4.5455 | 100 | 1.8421 |
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  ### Framework versions
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  - PEFT 0.11.1
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  - Transformers 4.41.2
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- - Pytorch 2.3.0+cu121
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1
 
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  ---
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+ base_model: NousResearch/Meta-Llama-3-8B-Instruct
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+ datasets:
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+ - generator
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  library_name: peft
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+ license: other
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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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  model-index:
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  - name: llama38binstruct_summarize
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  results: []
 
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  This model is a fine-tuned version of [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct) on the generator dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.7040
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.5571 | 1.25 | 25 | 1.2650 |
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+ | 0.518 | 2.5 | 50 | 1.4966 |
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+ | 0.2207 | 3.75 | 75 | 1.7554 |
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+ | 0.1096 | 5.0 | 100 | 1.7040 |
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  ### Framework versions
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  - PEFT 0.11.1
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  - Transformers 4.41.2
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+ - Pytorch 2.2.1+cu121
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1
adapter_config.json CHANGED
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  "r": 16,
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  "rank_pattern": {},
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  "revision": null,
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- "target_modules": "all-linear",
 
 
 
 
 
 
 
 
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
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  "use_rslora": false
 
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  "r": 16,
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  "rank_pattern": {},
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  "revision": null,
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+ "target_modules": [
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+ "up_proj",
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+ "v_proj",
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+ "down_proj",
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+ "o_proj",
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+ "k_proj",
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+ "q_proj",
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+ "gate_proj"
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+ ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
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  "use_rslora": false
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