huggingartists

README.md

@@ -45,15 +45,15 @@ from datasets import load_dataset
 dataset = load_dataset("huggingartists/queen")
 ```
 
-[Explore the data](https://wandb.ai/huggingartists/huggingartists/runs/29edwcv0/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
+[Explore the data](https://wandb.ai/huggingartists/huggingartists/runs/1odfy5f2/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
 
 ## Training procedure
 
 The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on Queen's lyrics.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/huggingartists/huggingartists/runs/135qvcfh) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/huggingartists/huggingartists/runs/n5mutjgn) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/huggingartists/huggingartists/runs/135qvcfh/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/huggingartists/huggingartists/runs/n5mutjgn/artifacts) is logged and versioned.
 
 ## How to use
 

evaluation.txt

@@ -1 +1 @@
-{"eval_loss": 0.9767317771911621, "eval_runtime": 2.1966, "eval_samples_per_second": 43.704, "eval_steps_per_second": 5.463, "epoch": 12.0}
+{"eval_loss": 0.7435600757598877, "eval_runtime": 1.9524, "eval_samples_per_second": 44.56, "eval_steps_per_second": 5.634, "epoch": 2.0}

optimizer.pt

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rng_state.pth

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scheduler.pt

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trainer_state.json

@@ -1,8 +1,8 @@
 {
-  "best_metric": 0.9767317771911621,
-  "best_model_checkpoint": "output/queen/checkpoint-68",
+  "best_metric": 0.7435600757598877,
+  "best_model_checkpoint": "output/queen/checkpoint-69",
   "epoch": 1.0,
-  "global_step": 68,
+  "global_step": 69,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -92,11 +92,19 @@
       "eval_samples_per_second": 46.272,
       "eval_steps_per_second": 5.784,
       "step": 68
+    },
+    {
+      "epoch": 1.0,
+      "eval_loss": 0.7435600757598877,
+      "eval_runtime": 1.811,
+      "eval_samples_per_second": 48.039,
+      "eval_steps_per_second": 6.074,
+      "step": 69
     }
   ],
-  "max_steps": 816,
-  "num_train_epochs": 12,
-  "total_flos": 70156910592000.0,
+  "max_steps": 138,
+  "num_train_epochs": 2,
+  "total_flos": 70418202624000.0,
   "trial_name": null,
   "trial_params": null
 }

training_args.bin

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