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README.md

@@ -1,69 +1,21 @@
 ---
-license: apache-2.0
-base_model: mistralai/Mistral-7B-v0.1
-tags:
-- generated_from_trainer
-model-index:
-- name: Test-tensorboard-metrics-Mistral-7b-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. -->
-
-# Test-tensorboard-metrics-Mistral-7b-Multilanguage-3.0.3
-
-This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.0401
-
-## 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 |
-|:-------------:|:-----:|:----:|:---------------:|
-| No log        | 0.98  | 22   | 1.6666          |
-| No log        | 2.0   | 45   | 1.1254          |
-| No log        | 2.98  | 67   | 1.0401          |
-| No log        | 4.0   | 90   | 1.0642          |
-| No log        | 4.98  | 112  | 1.0576          |
-| No log        | 6.0   | 135  | 1.1452          |
-| No log        | 6.98  | 157  | 1.1964          |
-| No log        | 8.0   | 180  | 1.2469          |
-| No log        | 8.98  | 202  | 1.3191          |
-| No log        | 9.78  | 220  | 1.3129          |
-
 
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: bitsandbytes
+- 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 4.34.0
-- Pytorch 2.0.1+cu117
-- Datasets 2.13.0
-- Tokenizers 0.14.1
+
+- PEFT 0.4.0

adapter_model.bin

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