huggingartists

README.md

@@ -45,15 +45,15 @@ from datasets import load_dataset
 dataset = load_dataset("huggingartists/eminem")
 ```
 
-[Explore the data](https://wandb.ai/huggingartists/huggingartists/runs/tusv3cma/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/1tfdfdyn/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 Eminem's lyrics.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/huggingartists/huggingartists/runs/kcn90ud5) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/huggingartists/huggingartists/runs/2oam1me5) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/huggingartists/huggingartists/runs/kcn90ud5/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/huggingartists/huggingartists/runs/2oam1me5/artifacts) is logged and versioned.
 
 ## How to use
 

evaluation.txt

@@ -1 +1 @@
-{"eval_loss": 0.15162613987922668, "eval_runtime": 14.5602, "eval_samples_per_second": 44.23, "eval_steps_per_second": 5.563, "epoch": 2.0}
+{"eval_loss": 0.13430377840995789, "eval_runtime": 14.0446, "eval_samples_per_second": 44.43, "eval_steps_per_second": 5.554, "epoch": 2.0}

flax_model.msgpack

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optimizer.pt

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pytorch_model.bin

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rng_state.pth

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scheduler.pt

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tokenizer_config.json

@@ -3,7 +3,7 @@
   "bos_token": "<|endoftext|>",
   "eos_token": "<|endoftext|>",
   "model_max_length": 1024,
-  "name_or_path": "gpt2",
+  "name_or_path": "huggingartists/eminem",
   "special_tokens_map_file": null,
   "tokenizer_class": "GPT2Tokenizer",
   "unk_token": "<|endoftext|>"

trainer_state.json

@@ -1,8 +1,8 @@
 {
-  "best_metric": 0.15162613987922668,
-  "best_model_checkpoint": "output/eminem/checkpoint-455",
+  "best_metric": 0.13430377840995789,
+  "best_model_checkpoint": "output/eminem/checkpoint-457",
   "epoch": 1.0,
-  "global_step": 455,
+  "global_step": 457,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -568,11 +568,19 @@
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       "eval_steps_per_second": 6.055,
       "step": 455
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+      "eval_loss": 0.13430377840995789,
+      "eval_runtime": 12.7773,
+      "eval_samples_per_second": 48.837,
+      "eval_steps_per_second": 6.105,
+      "step": 457
     }
   ],
-  "max_steps": 910,
+  "max_steps": 914,
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 }

training_args.bin

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