End of training

README.md

@@ -40,7 +40,7 @@ flash_attention: false
 fp16: null
 fsdp: null
 fsdp_config: null
-gradient_accumulation_steps: 16
+gradient_accumulation_steps: 4
 gradient_checkpointing: false
 group_by_length: false
 hub_model_id: tuanna08go/3f2636b7-6e5d-449d-a20a-40714d8d2c2f
@@ -51,7 +51,7 @@ learning_rate: 0.0001
 load_in_4bit: false
 load_in_8bit: false
 local_rank: null
-logging_steps: 10
+logging_steps: 5
 lora_alpha: 16
 lora_dropout: 0.05
 lora_fan_in_fan_out: null
@@ -59,8 +59,8 @@ lora_model_dir: null
 lora_r: 8
 lora_target_linear: true
 lr_scheduler: cosine
-max_steps: 50
-micro_batch_size: 8
+max_steps: 1
+micro_batch_size: 2
 mlflow_experiment_name: /tmp/5178402b4c4ddad7_train_data.json
 model_type: AutoModelForCausalLM
 num_epochs: 1
@@ -84,7 +84,7 @@ wandb_name: 3f2636b7-6e5d-449d-a20a-40714d8d2c2f
 wandb_project: Gradients-On-Demand
 wandb_run: your_name
 wandb_runid: 3f2636b7-6e5d-449d-a20a-40714d8d2c2f
-warmup_steps: 2
+warmup_steps: 1
 weight_decay: 0.0
 xformers_attention: null
 
@@ -95,8 +95,6 @@ xformers_attention: null
 # 3f2636b7-6e5d-449d-a20a-40714d8d2c2f
 
 This model is a fine-tuned version of [unsloth/Qwen2.5-Math-7B-Instruct](https://huggingface.co/unsloth/Qwen2.5-Math-7B-Instruct) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: nan
 
 ## Model description
 
@@ -116,26 +114,21 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0001
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 2
+- eval_batch_size: 2
 - seed: 42
-- gradient_accumulation_steps: 16
-- total_train_batch_size: 128
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
 - optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_steps: 2
-- training_steps: 50
+- training_steps: 1
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| No log        | 0.0010 | 1    | nan             |
-| 0.0           | 0.0104 | 10   | nan             |
-| 0.0           | 0.0209 | 20   | nan             |
-| 0.0           | 0.0313 | 30   | nan             |
-| 0.0           | 0.0417 | 40   | nan             |
-| 0.0           | 0.0521 | 50   | nan             |
+| No log        | 0.0001 | 1    | nan             |
 
 
 ### Framework versions

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:093776466e64765833df9d4b0e62804cc050ded4d4896ef74ced8194cdedfc08
+oid sha256:620a154f71bcb39e72998dc2d4e57018c07678735cabee12cbe98a7362ff2c4e
 size 80881450