New model from https://wandb.ai/wandb/huggingtweets/runs/3ot3v6zc

README.md

@@ -1,17 +1,27 @@
 ---
 language: en
-thumbnail: https://www.huggingtweets.com/lado_boi/1617800384792/predictions.png
+thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
 tags:
 - huggingtweets
 widget:
 - text: "My dream is"
 ---
 
-<div>
-<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1352677580227420160/Aee7-Ckl_400x400.png')">
-</div>
-<div style="margin-top: 8px; font-size: 19px; font-weight: 800">Lado Soyboy 🤖 AI Bot </div>
-<div style="font-size: 15px">@lado_boi bot</div>
+<div class="inline-flex flex-col" style="line-height: 1.5;">
+    <div class="flex">
+        <div
+			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/1455033625846583296/PdGeNmKg_400x400.png&#39;)">
+        </div>
+        <div
+            style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;&#39;)">
+        </div>
+        <div
+            style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;&#39;)">
+        </div>
+    </div>
+    <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div>
+    <div style="text-align: center; font-size: 16px; font-weight: 800">lado online</div>
+    <div style="text-align: center; font-size: 14px;">@lado_boi</div>
 </div>
 
 I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
@@ -28,24 +38,24 @@ To understand how the model was developed, check the [W&B report](https://wandb.
 
 ## Training data
 
-The model was trained on [@lado_boi's tweets](https://twitter.com/lado_boi).
+The model was trained on tweets from lado online.
 
-| Data | Quantity |
+| Data | lado online |
 | --- | --- |
-| Tweets downloaded | 2986 |
-| Retweets | 1786 |
-| Short tweets | 168 |
-| Tweets kept | 1032 |
+| Tweets downloaded | 3068 |
+| Retweets | 2001 |
+| Short tweets | 90 |
+| Tweets kept | 977 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1nyzzg3z/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/2jmskf0k/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 @lado_boi's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/17gefac5) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3ot3v6zc) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/17gefac5/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3ot3v6zc/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": "4.5.0",
+  "torch_dtype": "float32",
+  "transformers_version": "4.22.2",
   "use_cache": true,
   "vocab_size": 50257
 }

flax_model.msgpack

@@ -1,3 +0,0 @@
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-size 497764120

pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 510408315
+oid sha256:beaa6317d30284898da7e147b9d96bfeca944b936d9944a58c7a6f0026f9093c
+size 510396521

special_tokens_map.json

@@ -1 +1,5 @@
-{"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}
+{
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "unk_token": "<|endoftext|>"
+}

tokenizer_config.json

@@ -1 +1,10 @@
-{"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"}
+{
+  "add_prefix_space": false,
+  "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:f85919644438748d28d39feeac0450b43a20960bf29cadbb9c5ffc9e7b1ddbb2
-size 2351
+oid sha256:088d5e6f6f032eb54dc7b98725d0ae7f619cc0788c8a19c24158c9d27fc7f63a
+size 3375