New model from https://wandb.ai/wandb/huggingtweets/runs/1b9oc9qb

README.md

@@ -10,7 +10,7 @@ widget:
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     <div class="flex">
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+			style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://pbs.twimg.com/profile_images/1468001914302390278/B_Xv_8gu_400x400.jpg&#39;)">
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@@ -42,20 +42,20 @@ The model was trained on tweets from Marques Brownlee.
 
 | Data | Marques Brownlee |
 | --- | --- |
-| Tweets downloaded | 3247 |
-| Retweets | 237 |
-| Short tweets | 679 |
-| Tweets kept | 2331 |
+| Tweets downloaded | 3248 |
+| Retweets | 248 |
+| Short tweets | 608 |
+| Tweets kept | 2392 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1sz3420j/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/2bt1ofet/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 @mkbhd's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3o5kj2qg) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1b9oc9qb) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3o5kj2qg/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1b9oc9qb/artifacts) is logged and versioned.
 
 ## How to use
 

config.json

@@ -8,7 +8,6 @@
   "bos_token_id": 50256,
   "embd_pdrop": 0.1,
   "eos_token_id": 50256,
-  "gradient_checkpointing": false,
   "initializer_range": 0.02,
   "layer_norm_epsilon": 1e-05,
   "model_type": "gpt2",
@@ -18,7 +17,10 @@
   "n_inner": null,
   "n_layer": 12,
   "n_positions": 1024,
+  "reorder_and_upcast_attn": false,
   "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
   "summary_activation": null,
   "summary_first_dropout": 0.1,
   "summary_proj_to_labels": true,
@@ -34,7 +36,8 @@
       "top_p": 0.95
     }
   },
-  "transformers_version": "4.5.1",
+  "torch_dtype": "float32",
+  "transformers_version": "4.19.4",
   "use_cache": true,
   "vocab_size": 50257
 }

flax_model.msgpack

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pytorch_model.bin

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tokenizer_config.json

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-{"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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