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Training in progress, step 8

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README.md CHANGED
@@ -1,18 +1,18 @@
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  ---
 
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  license: other
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  base_model: HuggingFaceM4/idefics-9b-instruct
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: IDEFICS-frozenlake
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  results: []
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- library_name: peft
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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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- # IDEFICS-frozenlake
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  This model is a fine-tuned version of [HuggingFaceM4/idefics-9b-instruct](https://huggingface.co/HuggingFaceM4/idefics-9b-instruct) on an unknown dataset.
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@@ -30,21 +30,6 @@ More information needed
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  ## Training procedure
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-
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- The following `bitsandbytes` quantization config was used during training:
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- - quant_method: bitsandbytes
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- - _load_in_8bit: False
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- - _load_in_4bit: True
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- - llm_int8_threshold: 6.0
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- - llm_int8_skip_modules: ['lm_head', 'embed_tokens']
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- - llm_int8_enable_fp32_cpu_offload: False
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- - llm_int8_has_fp16_weight: False
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- - bnb_4bit_quant_type: nf4
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- - bnb_4bit_use_double_quant: True
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- - bnb_4bit_compute_dtype: bfloat16
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- - bnb_4bit_quant_storage: uint8
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- - load_in_4bit: True
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- - load_in_8bit: False
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
@@ -66,8 +51,7 @@ The following hyperparameters were used during training:
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  ### Framework versions
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- - PEFT 0.5.0
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- - Transformers 4.43.3
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  - Pytorch 2.4.0+cu121
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  - Datasets 2.16.1
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  - Tokenizers 0.19.1
 
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  ---
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+ library_name: transformers
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  license: other
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  base_model: HuggingFaceM4/idefics-9b-instruct
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: idefics-frozenlake
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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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+ # idefics-frozenlake
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  This model is a fine-tuned version of [HuggingFaceM4/idefics-9b-instruct](https://huggingface.co/HuggingFaceM4/idefics-9b-instruct) on an unknown dataset.
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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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  ### Framework versions
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+ - Transformers 4.44.2
 
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  - Pytorch 2.4.0+cu121
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  - Datasets 2.16.1
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  - Tokenizers 0.19.1
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  "base_model_name_or_path": "HuggingFaceM4/idefics-9b-instruct",
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  "bias": "none",
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  "layers_pattern": null,
 
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  "base_model_name_or_path": "HuggingFaceM4/idefics-9b-instruct",
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  "bias": "none",
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