New model from https://wandb.ai/wandb/huggingtweets/runs/k0swqzf3

README.md

@@ -20,7 +20,7 @@ widget:
         </div>
     </div>
     <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div>
-    <div style="text-align: center; font-size: 16px; font-weight: 800">wint</div>
+    <div style="text-align: center; font-size: 16px; font-weight: 800">slave to Woke</div>
     <div style="text-align: center; font-size: 14px;">@dril</div>
 </div>
 
@@ -38,24 +38,24 @@ To understand how the model was developed, check the [W&B report](https://wandb.
 
 ## Training data
 
-The model was trained on tweets from wint.
+The model was trained on tweets from slave to Woke.
 
-| Data | wint |
+| Data | slave to Woke |
 | --- | --- |
-| Tweets downloaded | 3230 |
-| Retweets | 518 |
-| Short tweets | 278 |
-| Tweets kept | 2434 |
+| Tweets downloaded | 3191 |
+| Retweets | 512 |
+| Short tweets | 274 |
+| Tweets kept | 2405 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/bvq9aj5z/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/wandb/huggingtweets/runs/a5mb4z84/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 @dril's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/hjrxi7hf) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/k0swqzf3) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/hjrxi7hf/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/k0swqzf3/artifacts) is logged and versioned.
 
 ## How to use
 

config.json

@@ -37,7 +37,7 @@
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.27.4",
+  "transformers_version": "4.28.1",
   "use_cache": true,
   "vocab_size": 50257
 }

generation_config.json

@@ -2,5 +2,5 @@
   "_from_model_config": true,
   "bos_token_id": 50256,
   "eos_token_id": 50256,
-  "transformers_version": "4.27.4"
+  "transformers_version": "4.28.1"
 }

pytorch_model.bin

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 size 510398013

tokenizer_config.json

@@ -1,9 +1,9 @@
 {
   "add_prefix_space": false,
   "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
   "eos_token": "<|endoftext|>",
   "model_max_length": 1024,
-  "special_tokens_map_file": null,
   "tokenizer_class": "GPT2Tokenizer",
   "unk_token": "<|endoftext|>"
 }

training_args.bin

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