New model from https://wandb.ai/wandb/huggingtweets/runs/388kom38

README.md

@@ -51,32 +51,32 @@ The model was trained on [@marknorm's tweets](https://twitter.com/marknorm).
 <tbody style='border-width:0'>
 <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
 <td style='border-width:0'>Tweets downloaded</td>
-<td style='border-width:0'>3244</td>
+<td style='border-width:0'>3234</td>
 </tr>
 <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
 <td style='border-width:0'>Retweets</td>
-<td style='border-width:0'>166</td>
+<td style='border-width:0'>162</td>
 </tr>
 <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
 <td style='border-width:0'>Short tweets</td>
-<td style='border-width:0'>591</td>
+<td style='border-width:0'>594</td>
 </tr>
 <tr style='border-width:0'>
 <td style='border-width:0'>Tweets kept</td>
-<td style='border-width:0'>2487</td>
+<td style='border-width:0'>2478</td>
 </tr>
 </tbody>
 </table>
 
-[Explore the data](https://app.wandb.ai/wandb/huggingtweets/runs/2jg7mcmt/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/pxpfygl8/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 @marknorm's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets/runs/1iqdfuem) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/388kom38) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://app.wandb.ai/wandb/huggingtweets/runs/1iqdfuem/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/388kom38/artifacts) is logged and versioned.
 
 ## Intended uses & limitations
 
@@ -110,4 +110,4 @@ For more details, visit the project repository.
 
 [![GitHub stars](https://img.shields.io/github/stars/borisdayma/huggingtweets?style=social)](https://github.com/borisdayma/huggingtweets)
 
-<!--- random size file                                        -->
+<!--- random size file                                                                                        -->

config.json

@@ -1,4 +1,5 @@
 {
+  "_name_or_path": "gpt2",
   "activation_function": "gelu_new",
   "architectures": [
     "GPT2LMHeadModel"
@@ -7,6 +8,7 @@
   "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",

pytorch_model.bin

@@ -1,3 +1,3 @@
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 size 510406559

tokenizer_config.json

@@ -1 +1 @@
-{"model_max_length": 1024}
+{"errors": "replace", "unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "add_prefix_space": false, "model_max_length": 1024, "name_or_path": "gpt2"}

training_args.bin

@@ -0,0 +1,3 @@
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+oid sha256:87845617807bfcb993af70009b8ace96ceac0f24e7071f2a4ef3fcc0c2575a4f
+size 1775