boris commited on
Commit
44ba079
·
1 Parent(s): 8d5a431

New model from https://wandb.ai/wandb/huggingtweets/runs/1vund7rs

Browse files
README.md CHANGED
@@ -1,6 +1,6 @@
1
  ---
2
  language: en
3
- thumbnail: https://www.huggingtweets.com/sheniroh/1623627889010/predictions.png
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(&#39;https://pbs.twimg.com/profile_images/1403896581972238346/bVstV1qf_400x400.jpg&#39;)">
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(&#39;&#39;)">
@@ -20,7 +20,7 @@ widget:
20
  </div>
21
  </div>
22
  <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div>
23
- <div style="text-align: center; font-size: 16px; font-weight: 800">😺🤳(me on twiter)</div>
24
  <div style="text-align: center; font-size: 14px;">@sheniroh</div>
25
  </div>
26
 
@@ -38,24 +38,24 @@ To understand how the model was developed, check the [W&B report](https://wandb.
38
 
39
  ## Training data
40
 
41
- The model was trained on tweets from 😺🤳(me on twiter).
42
 
43
- | Data | 😺🤳(me on twiter) |
44
  | --- | --- |
45
- | Tweets downloaded | 1339 |
46
- | Retweets | 226 |
47
- | Short tweets | 346 |
48
- | Tweets kept | 767 |
49
 
50
- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1ygskygk/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 @sheniroh's tweets.
55
 
56
- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2uk3z22y) for full transparency and reproducibility.
57
 
58
- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2uk3z22y/artifacts) is logged and versioned.
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(&#39;https://pbs.twimg.com/profile_images/1599528925159358464/2js8HkCN_400x400.jpg&#39;)">
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(&#39;&#39;)">
 
20
  </div>
21
  </div>
22
  <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div>
23
+ <div style="text-align: center; font-size: 16px; font-weight: 800">Mr. ladybug :P</div>
24
  <div style="text-align: center; font-size: 14px;">@sheniroh</div>
25
  </div>
26
 
 
38
 
39
  ## Training data
40
 
41
+ The model was trained on tweets from Mr. ladybug :P.
42
 
43
+ | Data | Mr. ladybug :P |
44
  | --- | --- |
45
+ | Tweets downloaded | 3206 |
46
+ | Retweets | 412 |
47
+ | Short tweets | 749 |
48
+ | Tweets kept | 2045 |
49
 
50
+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3avu05be/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 @sheniroh's tweets.
55
 
56
+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1vund7rs) for full transparency and reproducibility.
57
 
58
+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1vund7rs/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,
@@ -35,7 +36,8 @@
35
  "top_p": 0.95
36
  }
37
  },
38
- "transformers_version": "4.6.1",
 
39
  "use_cache": true,
40
  "vocab_size": 50257
41
  }
 
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,
 
36
  "top_p": 0.95
37
  }
38
  },
39
+ "torch_dtype": "float32",
40
+ "transformers_version": "4.25.1",
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:e6ed13effc04f5e23859483039e30ec4e45b754e2d03a7fb6b79576f045e891e
3
- size 510408315
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:abbdd9990fc12e516b26f3d29e094ee3597407fff0676cc7599f2391326e5b3b
3
+ size 510398013
special_tokens_map.json CHANGED
@@ -1 +1,5 @@
1
- {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}
 
 
 
 
 
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
- {"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"}
 
 
 
 
 
 
 
 
 
 
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 sha256:4613c9c3debc5a9bbdd267d384d4173e42aff19ded5a4dea76588ae14bda7407
3
- size 2415
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9419b78d12d17ef74d01600dad63659c3d7cb83e11fe0babaa4024c3c1d9b819
3
+ size 3387