update model card README.md

README.md

@@ -1,22 +1,11 @@
 ---
-license: cc-by-nc-4.0
-inference: false
-datasets:
-- BramVanroy/alpaca-cleaned-dutch
+license: apache-2.0
 base_model: DAMO-NLP-MT/polylm-1.7b
 tags:
 - generated_from_trainer
-- alpaca
-- Transformers
-- PolyLM
-- text-generation-inference
 model-index:
 - name: polylm_1.7b_ft_alpaca_clean_dutch
   results: []
-language:
-- nl
-library_name: peft
-pipeline_tag: text-generation
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -26,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [DAMO-NLP-MT/polylm-1.7b](https://huggingface.co/DAMO-NLP-MT/polylm-1.7b) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8174
+- Loss: 1.8483
 
 ## Model description
 
@@ -42,21 +31,10 @@ More information needed
 
 ## Training procedure
 
-
-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
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0002
+- learning_rate: 0.0001
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -71,25 +49,23 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.0693        | 0.16  | 128  | 2.0915          |
-| 2.0029        | 0.33  | 256  | 2.0195          |
-| 2.0006        | 0.49  | 384  | 1.9779          |
-| 1.933         | 0.66  | 512  | 1.9409          |
-| 1.9532        | 0.82  | 640  | 1.9217          |
-| 1.8959        | 0.99  | 768  | 1.8978          |
-| 1.8237        | 1.15  | 896  | 1.8838          |
-| 1.8218        | 1.32  | 1024 | 1.8693          |
-| 1.8072        | 1.48  | 1152 | 1.8521          |
-| 1.8103        | 1.65  | 1280 | 1.8395          |
-| 1.8275        | 1.81  | 1408 | 1.8266          |
-| 1.7902        | 1.98  | 1536 | 1.8174          |
+| 2.1248        | 0.16  | 128  | 2.1129          |
+| 2.0512        | 0.33  | 256  | 2.0347          |
+| 1.9983        | 0.49  | 384  | 1.9948          |
+| 1.9557        | 0.66  | 512  | 1.9655          |
+| 1.9583        | 0.82  | 640  | 1.9386          |
+| 1.916         | 0.99  | 768  | 1.9177          |
+| 1.8671        | 1.15  | 896  | 1.9019          |
+| 1.8626        | 1.32  | 1024 | 1.8885          |
+| 1.8321        | 1.48  | 1152 | 1.8762          |
+| 1.8596        | 1.65  | 1280 | 1.8631          |
+| 1.843         | 1.81  | 1408 | 1.8539          |
+| 1.8333        | 1.98  | 1536 | 1.8483          |
 
 
 ### Framework versions
 
-- PEFT 0.4.0
 - Transformers 4.31.0
 - Pytorch 2.0.1+cu118
 - Datasets 2.13.1
 - Tokenizers 0.13.3
-- PEFT 0.4.0