New model from https://wandb.ai/wandb/huggingtweets/runs/15cixoqh

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: https://www.huggingtweets.com/elonmusk/1630933719711/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 Elon Musk.
 
 | Data | Elon Musk |
 | --- | --- |
-| Tweets downloaded | 822 |
-| Retweets | 36 |
-| Short tweets | 233 |
-| Tweets kept | 553 |
+| Tweets downloaded | 3250 |
+| Retweets | 183 |
+| Short tweets | 831 |
+| Tweets kept | 2236 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1ui0qfcf/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/3pfovkd3/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 @elonmusk's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/ury2pnlm) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/15cixoqh) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/ury2pnlm/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/15cixoqh/artifacts) is logged and versioned.
 
 ## How to use
 

config.json

@@ -19,6 +19,7 @@
   "n_layer": 12,
   "n_positions": 1024,
   "resid_pdrop": 0.1,
+  "scale_attn_weights": true,
   "summary_activation": null,
   "summary_first_dropout": 0.1,
   "summary_proj_to_labels": true,
@@ -34,7 +35,8 @@
       "top_p": 0.95
     }
   },
-  "transformers_version": "4.4.2",
+  "torch_dtype": "float32",
+  "transformers_version": "4.10.2",
   "use_cache": true,
   "vocab_size": 50257
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:0505f2fbbea9c7c6fd1b7903fc0d89331458b63f7e6e15a6e286d7130ef6388e
+size 510403817

tokenizer_config.json

@@ -1 +1 @@
-{"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"}
+{"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", "tokenizer_class": "GPT2Tokenizer"}

training_args.bin

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+size 2671