Training in progress, step 3000, checkpoint

checkpoint-3000/README.md

@@ -1,6 +1,203 @@
 ---
 library_name: peft
+base_model: EleutherAI/polyglot-ko-1.3b
 ---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
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+
+
+## Model Details
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+### Model Description
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+### Training Procedure 
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+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
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+
+#### Training Hyperparameters
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+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
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+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
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+
 ## Training procedure
 
 
@@ -16,6 +213,13 @@ The following `bitsandbytes` quantization config was used during training:
 - bnb_4bit_use_double_quant: False
 - bnb_4bit_compute_dtype: float32
 
+### Framework versions
+
+
+- PEFT 0.6.1
+## Training procedure
+
+
 The following `bitsandbytes` quantization config was used during training:
 - quant_method: bitsandbytes
 - load_in_8bit: True
@@ -27,8 +231,8 @@ The following `bitsandbytes` quantization config was used during training:
 - bnb_4bit_quant_type: fp4
 - bnb_4bit_use_double_quant: False
 - bnb_4bit_compute_dtype: float32
+
 ### Framework versions
 
-- PEFT 0.5.0
 
-- PEFT 0.5.0
+- PEFT 0.6.1

checkpoint-3000/adapter_config.json

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   "bias": "none",
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   "peft_type": "LORA",
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   "target_modules": [
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