End of training

README.md

@@ -47,7 +47,7 @@ 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/decda85a-cc80-403f-8f61-2d4405578f06
@@ -58,7 +58,7 @@ 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
@@ -66,8 +66,8 @@ 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/75e2dfb45725a08d_train_data.json
 model_type: AutoModelForCausalLM
 num_epochs: 1
@@ -91,7 +91,7 @@ wandb_name: decda85a-cc80-403f-8f61-2d4405578f06
 wandb_project: Gradients-On-Demand
 wandb_run: your_name
 wandb_runid: decda85a-cc80-403f-8f61-2d4405578f06
-warmup_steps: 2
+warmup_steps: 1
 weight_decay: 0.0
 xformers_attention: null
 
@@ -102,8 +102,6 @@ xformers_attention: null
 # decda85a-cc80-403f-8f61-2d4405578f06
 
 This model is a fine-tuned version of [unsloth/Qwen2.5-Math-1.5B](https://huggingface.co/unsloth/Qwen2.5-Math-1.5B) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: nan
 
 ## Model description
 
@@ -123,25 +121,21 @@ 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: 14
+- training_steps: 1
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| No log        | 0.0748 | 1    | nan             |
-| No log        | 0.2243 | 3    | nan             |
-| No log        | 0.4486 | 6    | nan             |
-| No log        | 0.6729 | 9    | nan             |
-| 0.0           | 0.8972 | 12   | nan             |
+| No log        | 0.0047 | 1    | nan             |
 
 
 ### Framework versions

adapter_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:b27bee534ee9082948bc28afd05bde71ece9fefb3947b4b6990d65a782def191
 size 37070634