Update README.md

README.md

@@ -84,20 +84,13 @@ xformers_attention: null
 
 # Tiny-Darkllama3.2-1B-Instruct
 
-This model was trained from scratch on the ChaoticNeutrals/Luminous_Opus dataset.
+This model was trained from unsloth/Llama-3.2-1B on the ChaoticNeutrals/Luminous_Opus, Synthetic-Dark-RP, Synthetic-RP datasets.
 
-## Model description
 
-More information needed
 
-## Intended uses & limitations
-
-More information needed
 
 ## Training and evaluation data
 
-More information needed
-
 ## Training procedure
 
 ### Training hyperparameters
@@ -113,7 +106,32 @@ The following hyperparameters were used during training:
 - training_steps: 20
 
 ### Training results
-
+[2025-02-11 13:09:27,300] [INFO] [axolotl.train.train:173] [PID:7240] [RANK:0] Starting trainer...
+[2025-02-11 13:09:27,706] [INFO] [axolotl.utils.samplers.multipack.calc_min_len:203] [PID:7240] [RANK:0] gather_len_batches: [35]
+[2025-02-11 13:09:27,761] [INFO] [axolotl.callbacks.on_train_begin:39] [PID:7240] [RANK:0] The Axolotl config has been saved to the MLflow artifacts.
+{'loss': 3.4922, 'grad_norm': 9.877531051635742, 'learning_rate': 2e-05, 'epoch': 0.03}
+  5% 1/20 [00:02<00:37,  1.98s/it][2025-02-11 13:09:31,221] [INFO] [axolotl.callbacks.on_step_end:127] [PID:7240] [RANK:0] cuda memory usage while training: 12.320GB (+8.604GB cache, +0.565GB misc)
+{'loss': 3.3057, 'grad_norm': 11.661816596984863, 'learning_rate': 4e-05, 'epoch': 0.06}
+{'loss': 2.4733, 'grad_norm': 8.751928329467773, 'learning_rate': 6e-05, 'epoch': 0.09}
+{'loss': 2.9842, 'grad_norm': 10.503549575805664, 'learning_rate': 8e-05, 'epoch': 0.11}
+{'loss': 2.6624, 'grad_norm': 12.645892143249512, 'learning_rate': 0.0001, 'epoch': 0.14}
+{'loss': 2.7616, 'grad_norm': 10.691230773925781, 'learning_rate': 0.00012, 'epoch': 0.17}
+{'loss': 2.9891, 'grad_norm': 10.076760292053223, 'learning_rate': 0.00014, 'epoch': 0.2}
+{'loss': 2.3745, 'grad_norm': 10.034379959106445, 'learning_rate': 0.00016, 'epoch': 0.23}
+{'loss': 2.4965, 'grad_norm': 9.778562545776367, 'learning_rate': 0.00018, 'epoch': 0.26}
+{'loss': 2.3811, 'grad_norm': 19.146963119506836, 'learning_rate': 0.0002, 'epoch': 0.29}
+{'loss': 3.3611, 'grad_norm': 14.556534767150879, 'learning_rate': 0.00018, 'epoch': 0.31}
+{'loss': 2.9619, 'grad_norm': 16.88424301147461, 'learning_rate': 0.00016, 'epoch': 0.34}
+{'loss': 2.121, 'grad_norm': 9.94941520690918, 'learning_rate': 0.00014, 'epoch': 0.37}
+{'loss': 2.1042, 'grad_norm': 23.178285598754883, 'learning_rate': 0.00012, 'epoch': 0.4}
+{'loss': 2.4722, 'grad_norm': 10.403461456298828, 'learning_rate': 0.0001, 'epoch': 0.43}
+{'loss': 2.7434, 'grad_norm': 11.339975357055664, 'learning_rate': 8e-05, 'epoch': 0.46}
+{'loss': 2.2349, 'grad_norm': 202.98793029785156, 'learning_rate': 6e-05, 'epoch': 0.49}
+{'loss': 2.3479, 'grad_norm': 10.250885009765625, 'learning_rate': 4e-05, 'epoch': 0.51}
+{'loss': 2.4169, 'grad_norm': 14.021651268005371, 'learning_rate': 2e-05, 'epoch': 0.54}
+{'loss': 3.4686, 'grad_norm': 10.988056182861328, 'learning_rate': 0.0, 'epoch': 0.57}
+{'train_runtime': 172.0118, 'train_samples_per_second': 0.116, 'train_steps_per_second': 0.116, 'train_loss': 2.707640600204468, 'epoch': 0.57}
+100% 20/20 [02:52<00:00,  8.65s/it]
 
 
 ### Framework versions