New model from https://wandb.ai/wandb/huggingtweets/runs/zx4vuc9i

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: http://www.huggingtweets.com/sergio_coma/1668320304356/predictions.png
+thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
 tags:
 - huggingtweets
 widget:
@@ -42,20 +42,20 @@ The model was trained on tweets from Dr Sergio Coma.
 
 | Data | Dr Sergio Coma |
 | --- | --- |
-| Tweets downloaded | 3198 |
-| Retweets | 142 |
-| Short tweets | 508 |
-| Tweets kept | 2548 |
+| Tweets downloaded | 3221 |
+| Retweets | 140 |
+| Short tweets | 477 |
+| Tweets kept | 2604 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/28xnu8rm/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/exsoog10/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 @sergio_coma's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/113vcxjn) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/zx4vuc9i) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/113vcxjn/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/zx4vuc9i/artifacts) is logged and versioned.
 
 ## How to use
 

config.json

@@ -37,7 +37,7 @@
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.24.0",
+  "transformers_version": "4.27.2",
   "use_cache": true,
   "vocab_size": 50257
 }

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.27.2"
+}

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:30b878d0140ba811852068da93a61e922ce82264ea0f18f96611217f3b1c1c4f
+size 510398013

tokenizer_config.json

@@ -3,7 +3,6 @@
   "bos_token": "<|endoftext|>",
   "eos_token": "<|endoftext|>",
   "model_max_length": 1024,
-  "name_or_path": "gpt2",
   "special_tokens_map_file": null,
   "tokenizer_class": "GPT2Tokenizer",
   "unk_token": "<|endoftext|>"

training_args.bin

@@ -1,3 +1,3 @@
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+size 3579