Commit From AutoTrain
Browse files- .gitattributes +3 -0
- README.md +36 -0
- config.json +32 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +107 -0
- spiece.model +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +113 -0
.gitattributes
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@@ -32,3 +32,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.bin.* filter=lfs diff=lfs merge=lfs -text
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*.tar.gz filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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tags:
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- autotrain
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- summarization
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language:
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- unk
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widget:
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- text: "I love AutoTrain 🤗"
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datasets:
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- aszfcxcgszdx/autotrain-data-summary-v3
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co2_eq_emissions:
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emissions: 3.520254114566687
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---
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# Model Trained Using AutoTrain
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- Problem type: Summarization
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- Model ID: 40835105619
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- CO2 Emissions (in grams): 3.5203
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## Validation Metrics
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- Loss: 1.818
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- Rouge1: 44.176
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- Rouge2: 25.696
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- RougeL: 41.172
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- RougeLsum: 41.276
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- Gen Len: 15.201
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## Usage
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You can use cURL to access this model:
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```
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$ curl -X POST -H "Authorization: Bearer YOUR_HUGGINGFACE_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/aszfcxcgszdx/autotrain-summary-v3-40835105619
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```
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config.json
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{
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"_name_or_path": "AutoTrain",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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"d_ff": 2816,
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"d_kv": 64,
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"d_model": 1024,
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"decoder_start_token_id": 0,
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"dense_act_fn": "gelu_new",
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "gated-gelu",
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"is_gated_act": true,
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"layer_norm_epsilon": 1e-06,
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"model_type": "t5",
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"n_positions": 512,
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"num_decoder_layers": 24,
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"num_heads": 16,
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"num_layers": 24,
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"output_past": true,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 32,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.25.1",
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"use_cache": true,
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"vocab_size": 32128
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c773fb3f0667d5c546902b2a26184851ecc274358119dee5b38e94c71d857479
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size 3132793669
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<extra_id_0>",
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],
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"eos_token": "</s>",
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"unk_token": "<unk>"
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}
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spiece.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
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size 791656
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:8723bf9b53cfe5d55721bc95ee269271918dc826aa480a8676db0680883d9495
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size 2422262
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tokenizer_config.json
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{
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"<extra_id_99>"
|
103 |
+
],
|
104 |
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"eos_token": "</s>",
|
105 |
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"extra_ids": 100,
|
106 |
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"model_max_length": 512,
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107 |
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"name_or_path": "AutoTrain",
|
108 |
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"pad_token": "<pad>",
|
109 |
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"sp_model_kwargs": {},
|
110 |
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"special_tokens_map_file": "/home/younes_huggingface_co/.cache/huggingface/hub/models--google--t5-v1_1-large/snapshots/314bc112b191ec17b625ba81438dc73d6c23659d/special_tokens_map.json",
|
111 |
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"tokenizer_class": "T5Tokenizer",
|
112 |
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"unk_token": "<unk>"
|
113 |
+
}
|