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

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: http://www.huggingtweets.com/mrbeast/1663719335654/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 MrBeast.
 
 | Data | MrBeast |
 | --- | --- |
-| Tweets downloaded | 3249 |
-| Retweets | 118 |
-| Short tweets | 725 |
-| Tweets kept | 2406 |
+| Tweets downloaded | 3248 |
+| Retweets | 86 |
+| Short tweets | 729 |
+| Tweets kept | 2433 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1iaqnipi/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/5cv62k60/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 @mrbeast's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3slilal4) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/bfqzlltq) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3slilal4/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/bfqzlltq/artifacts) is logged and versioned.
 
 ## How to use
 

config.json

@@ -37,7 +37,7 @@
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.22.1",
+  "transformers_version": "4.27.4",
   "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": "4.27.4"
+}

merges.txt

@@ -1,4 +1,4 @@
-#version: 0.2 - Trained by `huggingface/tokenizers`
+#version: 0.2
 Ġ t
 Ġ a
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pytorch_model.bin

@@ -1,3 +1,3 @@
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-oid sha256:08f6e3e339d5550f2aa46891976f983b65da2ebbd04e7abf9f10562714b263c5
-size 510396521
+oid sha256:fff312e084700a0905431fe31df6899153377ede98fcb932934ddc739bac0072
+size 510398013

tokenizer.json

@@ -39,6 +39,7 @@
     "continuing_subword_prefix": "",
     "end_of_word_suffix": "",
     "fuse_unk": false,
+    "byte_fallback": false,
     "vocab": {
       "!": 0,
       "\"": 1,

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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-oid sha256:ffdf707d5596b3fd68f8a1de5656436fa53a3c41d65350f7f98a26f09b2d51a6
-size 3375
+oid sha256:659040056ac94d1d9c618e8070eec71e20e918a653494a73bda34cfdac331dd3
+size 3579