update model card README.md

README.md

@@ -1,21 +1,67 @@
 ---
-license: mit
-library_name: peft
+tags:
+- generated_from_trainer
+model-index:
+- name: falcon_spider_v1
+  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. -->
+
+# falcon_spider_v1
+
+This model is a fine-tuned version of [ybelkada/falcon-7b-sharded-bf16](https://huggingface.co/ybelkada/falcon-7b-sharded-bf16) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5862
+
+## 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: False
-- bnb_4bit_compute_dtype: float16
-### Framework versions
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_ratio: 0.03
+- training_steps: 100
+
+### Training results
 
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.1754        | 0.03  | 10   | 0.6316          |
+| 0.5011        | 0.05  | 20   | 0.4848          |
+| 0.4355        | 0.08  | 30   | 0.4586          |
+| 0.3921        | 0.1   | 40   | 0.4555          |
+| 0.3327        | 0.13  | 50   | 0.4674          |
+| 0.2662        | 0.15  | 60   | 0.4507          |
+| 0.2258        | 0.18  | 70   | 0.4813          |
+| 0.1569        | 0.2   | 80   | 0.5407          |
+| 0.1313        | 0.23  | 90   | 0.5924          |
+| 0.1215        | 0.25  | 100  | 0.5862          |
+
+
+### Framework versions
 
-- PEFT 0.4.0.dev0
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.13.1
+- Tokenizers 0.13.3