update model card README.md

README.md

@@ -1,20 +1,71 @@
 ---
-library_name: peft
+license: apache-2.0
+base_model: DAMO-NLP-MT/polylm-1.7b
+tags:
+- generated_from_trainer
+model-index:
+- name: polylm_1.7b_ft_alpaca_clean_dutch
+  results: []
 ---
+
+<!-- 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. -->
+
+# polylm_1.7b_ft_alpaca_clean_dutch
+
+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
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
 ## Training procedure
 
+### Training hyperparameters
 
-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
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 64
+- num_epochs: 2
+
+### Training results
 
+| 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          |
+
+
+### Framework versions
 
-- PEFT 0.4.0
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3