New model from https://wandb.ai/wandb/huggingtweets/runs/uxqtp9fw
Browse files- README.md +8 -8
- config.json +7 -5
- generation_config.json +6 -0
- merges.txt +1 -1
- pytorch_model.bin +2 -2
- special_tokens_map.json +5 -1
- tokenizer.json +1 -0
- tokenizer_config.json +9 -1
- training_args.bin +2 -2
README.md
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---
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language: en
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thumbnail:
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tags:
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- huggingtweets
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widget:
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@@ -42,20 +42,20 @@ The model was trained on tweets from Zack Fox.
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| Data | Zack Fox |
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| --- | --- |
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| Tweets downloaded |
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| Retweets |
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| Short tweets |
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| Tweets kept |
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[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/
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## Training procedure
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The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @zackfox's tweets.
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Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/
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At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/
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## How to use
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---
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language: en
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thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
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tags:
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- huggingtweets
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widget:
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| Data | Zack Fox |
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| --- | --- |
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| Tweets downloaded | 1238 |
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| Retweets | 198 |
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| Short tweets | 405 |
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| Tweets kept | 635 |
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[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/dln0z2za/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
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## Training procedure
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The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @zackfox's tweets.
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Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/uxqtp9fw) for full transparency and reproducibility.
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At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/uxqtp9fw/artifacts) is logged and versioned.
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## How to use
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config.json
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{
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"_name_or_path": "gpt2",
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"activation_function": "gelu_new",
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"architectures": [
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"GPT2LMHeadModel"
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx": 1024,
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"n_embd":
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"n_head":
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"n_inner": null,
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"n_layer":
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"n_positions": 1024,
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.1,
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"scale_attn_by_inverse_layer_idx": false,
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.
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"use_cache": true,
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"vocab_size": 50257
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}
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{
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"_name_or_path": "gpt2-medium",
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"activation_function": "gelu_new",
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"architectures": [
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"GPT2LMHeadModel"
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx": 1024,
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"n_embd": 1024,
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"n_head": 16,
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"n_inner": null,
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"n_layer": 24,
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"n_positions": 1024,
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"n_special": 0,
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"predict_special_tokens": true,
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.1,
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"scale_attn_by_inverse_layer_idx": false,
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.28.1",
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"use_cache": true,
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"vocab_size": 50257
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 50256,
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"eos_token_id": 50256,
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"transformers_version": "4.28.1"
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}
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merges.txt
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#version: 0.2
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Ġ t
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Ġ a
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#version: 0.2
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:80ba5d0f72f15c471c482e51e5d01299a021f447f87c3fa41f13523463f622e6
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size 1444569373
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special_tokens_map.json
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{
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{
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"bos_token": "<|endoftext|>",
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"eos_token": "<|endoftext|>",
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"unk_token": "<|endoftext|>"
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}
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tokenizer.json
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"continuing_subword_prefix": "",
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"end_of_word_suffix": "",
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"fuse_unk": false,
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"vocab": {
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"!": 0,
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"\"": 1,
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"continuing_subword_prefix": "",
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"end_of_word_suffix": "",
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"fuse_unk": false,
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"byte_fallback": false,
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"vocab": {
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"!": 0,
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"\"": 1,
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"bos_token": "<|endoftext|>",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|endoftext|>",
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"model_max_length": 1024,
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"tokenizer_class": "GPT2Tokenizer",
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"unk_token": "<|endoftext|>"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:61331b27db1928658b9ae7e7cd97d3b79eb5f6f4ddb79609de384290aae3c969
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size 3579
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