New model from https://wandb.ai/wandb/huggingtweets/runs/3q3vkkda
Browse files- README.md +9 -9
- config.json +3 -2
- pytorch_model.bin +2 -2
- special_tokens_map.json +5 -1
- tokenizer.json +0 -0
- tokenizer_config.json +10 -1
- training_args.bin +2 -2
README.md
CHANGED
@@ -1,6 +1,6 @@
|
|
1 |
---
|
2 |
language: en
|
3 |
-
thumbnail: https://
|
4 |
tags:
|
5 |
- huggingtweets
|
6 |
widget:
|
@@ -10,7 +10,7 @@ widget:
|
|
10 |
<div class="inline-flex flex-col" style="line-height: 1.5;">
|
11 |
<div class="flex">
|
12 |
<div
|
13 |
-
style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/
|
14 |
</div>
|
15 |
<div
|
16 |
style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')">
|
@@ -42,20 +42,20 @@ The model was trained on tweets from Justin Bieber.
|
|
42 |
|
43 |
| Data | Justin Bieber |
|
44 |
| --- | --- |
|
45 |
-
| Tweets downloaded |
|
46 |
-
| Retweets |
|
47 |
-
| Short tweets |
|
48 |
-
| Tweets kept |
|
49 |
|
50 |
-
[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/
|
51 |
|
52 |
## Training procedure
|
53 |
|
54 |
The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @justinbieber's tweets.
|
55 |
|
56 |
-
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/
|
57 |
|
58 |
-
At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/
|
59 |
|
60 |
## How to use
|
61 |
|
|
|
1 |
---
|
2 |
language: en
|
3 |
+
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
|
4 |
tags:
|
5 |
- huggingtweets
|
6 |
widget:
|
|
|
10 |
<div class="inline-flex flex-col" style="line-height: 1.5;">
|
11 |
<div class="flex">
|
12 |
<div
|
13 |
+
style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1473447174591684612/vlsbWYtq_400x400.jpg')">
|
14 |
</div>
|
15 |
<div
|
16 |
style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')">
|
|
|
42 |
|
43 |
| Data | Justin Bieber |
|
44 |
| --- | --- |
|
45 |
+
| Tweets downloaded | 3156 |
|
46 |
+
| Retweets | 1006 |
|
47 |
+
| Short tweets | 866 |
|
48 |
+
| Tweets kept | 1284 |
|
49 |
|
50 |
+
[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2zhbvxcb/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
|
51 |
|
52 |
## Training procedure
|
53 |
|
54 |
The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @justinbieber's tweets.
|
55 |
|
56 |
+
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3q3vkkda) for full transparency and reproducibility.
|
57 |
|
58 |
+
At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3q3vkkda/artifacts) is logged and versioned.
|
59 |
|
60 |
## How to use
|
61 |
|
config.json
CHANGED
@@ -8,7 +8,6 @@
|
|
8 |
"bos_token_id": 50256,
|
9 |
"embd_pdrop": 0.1,
|
10 |
"eos_token_id": 50256,
|
11 |
-
"gradient_checkpointing": false,
|
12 |
"initializer_range": 0.02,
|
13 |
"layer_norm_epsilon": 1e-05,
|
14 |
"model_type": "gpt2",
|
@@ -18,7 +17,9 @@
|
|
18 |
"n_inner": null,
|
19 |
"n_layer": 12,
|
20 |
"n_positions": 1024,
|
|
|
21 |
"resid_pdrop": 0.1,
|
|
|
22 |
"scale_attn_weights": true,
|
23 |
"summary_activation": null,
|
24 |
"summary_first_dropout": 0.1,
|
@@ -36,7 +37,7 @@
|
|
36 |
}
|
37 |
},
|
38 |
"torch_dtype": "float32",
|
39 |
-
"transformers_version": "4.
|
40 |
"use_cache": true,
|
41 |
"vocab_size": 50257
|
42 |
}
|
|
|
8 |
"bos_token_id": 50256,
|
9 |
"embd_pdrop": 0.1,
|
10 |
"eos_token_id": 50256,
|
|
|
11 |
"initializer_range": 0.02,
|
12 |
"layer_norm_epsilon": 1e-05,
|
13 |
"model_type": "gpt2",
|
|
|
17 |
"n_inner": null,
|
18 |
"n_layer": 12,
|
19 |
"n_positions": 1024,
|
20 |
+
"reorder_and_upcast_attn": false,
|
21 |
"resid_pdrop": 0.1,
|
22 |
+
"scale_attn_by_inverse_layer_idx": false,
|
23 |
"scale_attn_weights": true,
|
24 |
"summary_activation": null,
|
25 |
"summary_first_dropout": 0.1,
|
|
|
37 |
}
|
38 |
},
|
39 |
"torch_dtype": "float32",
|
40 |
+
"transformers_version": "4.20.1",
|
41 |
"use_cache": true,
|
42 |
"vocab_size": 50257
|
43 |
}
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ebcd3bd8295735ab36c6645e583578f8ce0e2be30e84adb85796d542db0be2a1
|
3 |
+
size 510396521
|
special_tokens_map.json
CHANGED
@@ -1 +1,5 @@
|
|
1 |
-
{
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "<|endoftext|>",
|
3 |
+
"eos_token": "<|endoftext|>",
|
4 |
+
"unk_token": "<|endoftext|>"
|
5 |
+
}
|
tokenizer.json
CHANGED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
CHANGED
@@ -1 +1,10 @@
|
|
1 |
-
{
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"bos_token": "<|endoftext|>",
|
4 |
+
"eos_token": "<|endoftext|>",
|
5 |
+
"model_max_length": 1024,
|
6 |
+
"name_or_path": "gpt2",
|
7 |
+
"special_tokens_map_file": null,
|
8 |
+
"tokenizer_class": "GPT2Tokenizer",
|
9 |
+
"unk_token": "<|endoftext|>"
|
10 |
+
}
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2ae48bf7c03373be9b075ba09896965804a779423c1c8b7d012503e7a75a94cf
|
3 |
+
size 3311
|