update model card README.md

README.md

@@ -1,20 +1,68 @@
 ---
-library_name: peft
+license: apache-2.0
+base_model: togethercomputer/RedPajama-INCITE-Base-3B-v1
+tags:
+- generated_from_trainer
+model-index:
+- name: RedPajama-INCITE-Base-3B-v1-colab
+  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. -->
+
+# RedPajama-INCITE-Base-3B-v1-colab
+
+This model is a fine-tuned version of [togethercomputer/RedPajama-INCITE-Base-3B-v1](https://huggingface.co/togethercomputer/RedPajama-INCITE-Base-3B-v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6061
+
+## 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: 5e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
 
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.59          | 0.08  | 200  | 1.6639          |
+| 1.6331        | 0.16  | 400  | 1.6433          |
+| 1.6253        | 0.24  | 600  | 1.6323          |
+| 1.6133        | 0.33  | 800  | 1.6259          |
+| 1.6153        | 0.41  | 1000 | 1.6210          |
+| 1.5429        | 0.49  | 1200 | 1.6165          |
+| 1.5379        | 0.57  | 1400 | 1.6129          |
+| 1.6046        | 0.65  | 1600 | 1.6090          |
+| 1.6253        | 0.73  | 1800 | 1.6073          |
+| 1.6955        | 0.81  | 2000 | 1.6061          |
+
+
+### Framework versions
 
-- PEFT 0.4.0.dev0
+- Transformers 4.31.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3