New model from https://wandb.ai/wandb/huggingtweets/runs/6p3ishch

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: https://www.huggingtweets.com/java_jigga/1614091266180/predictions.png
+thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
 tags:
 - huggingtweets
 widget:
@@ -8,9 +8,9 @@ widget:
 ---
 
 <div>
-<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1362938259739795460/V6Cl54tq_400x400.jpg')">
+<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1377879160173993987/20XH6CdP_400x400.jpg')">
 </div>
-<div style="margin-top: 8px; font-size: 19px; font-weight: 800">Suckdick Murphys 🤖 AI Bot </div>
+<div style="margin-top: 8px; font-size: 19px; font-weight: 800">Cool Narcissist 🤖 AI Bot </div>
 <div style="font-size: 15px">@java_jigga bot</div>
 </div>
 
@@ -24,7 +24,7 @@ The model uses the following pipeline.
 
 ![pipeline](https://github.com/borisdayma/huggingtweets/blob/master/img/pipeline.png?raw=true)
 
-To understand how the model was developed, check the [W&B report](https://app.wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-model-to-generate-tweets--VmlldzoxMTY5MjI).
+To understand how the model was developed, check the [W&B report](https://wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-Model-to-Generate-Tweets--VmlldzoxMTY5MjI).
 
 ## Training data
 
@@ -32,20 +32,20 @@ The model was trained on [@java_jigga's tweets](https://twitter.com/java_jigga).
 
 | Data | Quantity |
 | --- | --- |
-| Tweets downloaded | 3207 |
-| Retweets | 311 |
-| Short tweets | 360 |
-| Tweets kept | 2536 |
+| Tweets downloaded | 3246 |
+| Retweets | 313 |
+| Short tweets | 426 |
+| Tweets kept | 2507 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/es8mjfic/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/kvpyc8u1/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 @java_jigga's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3idd602q) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/6p3ishch) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3idd602q/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/6p3ishch/artifacts) is logged and versioned.
 
 ## How to use
 

config.json

@@ -34,7 +34,7 @@
       "top_p": 0.95
     }
   },
-  "transformers_version": "4.3.2",
+  "transformers_version": "4.5.0",
   "use_cache": true,
   "vocab_size": 50257
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 510406648
+oid sha256:cbbdcc1eeca3f15225904f9574237ee70f66c1026c2aaa3df1aab0f144c350f3
+size 510408315

tokenizer_config.json

@@ -1 +1 @@
-{"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "add_prefix_space": false, "model_max_length": 1024, "name_or_path": "gpt2"}
+{"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "add_prefix_space": false, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "gpt2"}

training_args.bin

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+oid sha256:7daf0bb374221fc568f351d9df3fd9663bc4215ded22a82f430b8b6d10577a19
+size 2351