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README.md

@@ -1,69 +1,20 @@
 ---
-license: mit
-base_model: NousResearch/Nous-Hermes-Llama2-13b
-tags:
-- generated_from_trainer
-model-index:
-- name: ZeroShot-2.2.1-Llama2-13b-Multilanguage-3.0.3
-  results: []
+library_name: peft
 ---
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# ZeroShot-2.2.1-Llama2-13b-Multilanguage-3.0.3
-
-This model is a fine-tuned version of [NousResearch/Nous-Hermes-Llama2-13b](https://huggingface.co/NousResearch/Nous-Hermes-Llama2-13b) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.7250
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
 ## Training procedure
 
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 0.0004
-- train_batch_size: 2
-- eval_batch_size: 8
-- seed: 42
-- gradient_accumulation_steps: 2
-- total_train_batch_size: 4
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 10
-
-### Training results
-
-| Training Loss | Epoch | Step  | Validation Loss |
-|:-------------:|:-----:|:-----:|:---------------:|
-| 0.8523        | 1.0   | 3386  | 0.8460          |
-| 0.7686        | 2.0   | 6773  | 0.7882          |
-| 0.6856        | 3.0   | 10159 | 0.7563          |
-| 0.6011        | 4.0   | 13546 | 0.7390          |
-| 0.5217        | 5.0   | 16932 | 0.7306          |
-| 0.4411        | 6.0   | 20319 | 0.7250          |
-| 0.3773        | 7.0   | 23705 | 0.7292          |
-| 0.3103        | 8.0   | 27092 | 0.7369          |
-| 0.273         | 9.0   | 30478 | 0.7521          |
-| 0.2599        | 10.0  | 33860 | 0.7618          |
-
 
+The following `bitsandbytes` quantization config was used during training:
+- load_in_8bit: False
+- load_in_4bit: True
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: nf4
+- bnb_4bit_use_double_quant: True
+- bnb_4bit_compute_dtype: bfloat16
 ### Framework versions
 
-- Transformers 4.31.0
-- Pytorch 2.0.1+cu117
-- Datasets 2.13.0
-- Tokenizers 0.13.3
+
+- PEFT 0.4.0

adapter_model.bin

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