New model from https://wandb.ai/wandb/huggingtweets/runs/3e9hqcb5

README.md

@@ -42,20 +42,20 @@ The model was trained on tweets from President Biden.
 
 | Data | President Biden |
 | --- | --- |
-| Tweets downloaded | 1104 |
-| Retweets | 38 |
-| Short tweets | 3 |
-| Tweets kept | 1063 |
+| Tweets downloaded | 3250 |
+| Retweets | 96 |
+| Short tweets | 8 |
+| Tweets kept | 3146 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/20homzhl/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/3t6yi5yk/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 @potus's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/17ipdcp9) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3e9hqcb5) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/17ipdcp9/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3e9hqcb5/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 +17,9 @@
   "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,
@@ -35,7 +36,8 @@
       "top_p": 0.95
     }
   },
-  "transformers_version": "4.8.2",
+  "torch_dtype": "float32",
+  "transformers_version": "4.20.0",
   "use_cache": true,
   "vocab_size": 50257
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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-oid sha256:916c1427a4e1e86f9134a7ee2f99d5ad1d88c49f2da1643f352aa4fb3ecd8178
-size 510403817
+oid sha256:4460f99a3fc4117287e06d9d235401b605f9df8255f3ade81ba3af2af112e512
+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", "tokenizer_class": "GPT2Tokenizer"}
+{
+  "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 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f4f58727354e12726a4ad15bcf3902c46e78aa9563b20c2695be8730b7cd4c08
-size 2671
+oid sha256:db9355f473a04e6bab907eef368e1243ad9792a8237b02bd31608bcbdbadb95c
+size 3311