Upload folder using huggingface_hub

1_Pooling/config.json

@@ -0,0 +1,10 @@
+{
+  "word_embedding_dimension": 768,
+  "pooling_mode_cls_token": false,
+  "pooling_mode_mean_tokens": true,
+  "pooling_mode_max_tokens": false,
+  "pooling_mode_mean_sqrt_len_tokens": false,
+  "pooling_mode_weightedmean_tokens": false,
+  "pooling_mode_lasttoken": false,
+  "include_prompt": true
+}

README.md

@@ -0,0 +1,896 @@
+---
+language:
+- en
+tags:
+- sentence-transformers
+- sentence-similarity
+- feature-extraction
+- generated_from_trainer
+- dataset_size:557850
+- loss:MultipleNegativesRankingLoss
+base_model: google-t5/t5-base
+widget:
+- source_sentence: A man is jumping unto his filthy bed.
+  sentences:
+  - A young male is looking at a newspaper while 2 females walks past him.
+  - The bed is dirty.
+  - The man is on the moon.
+- source_sentence: A carefully balanced male stands on one foot near a clean ocean
+    beach area.
+  sentences:
+  - A man is ouside near the beach.
+  - Three policemen patrol the streets on bikes
+  - A man is sitting on his couch.
+- source_sentence: The man is wearing a blue shirt.
+  sentences:
+  - Near the trashcan the man stood and smoked
+  - A man in a blue shirt leans on a wall beside a road with a blue van and red car
+    with water in the background.
+  - A man in a black shirt is playing a guitar.
+- source_sentence: The girls are outdoors.
+  sentences:
+  - Two girls riding on an amusement part ride.
+  - a guy laughs while doing laundry
+  - Three girls are standing together in a room, one is listening, one is writing
+    on a wall and the third is talking to them.
+- source_sentence: A construction worker peeking out of a manhole while his coworker
+    sits on the sidewalk smiling.
+  sentences:
+  - A worker is looking out of a manhole.
+  - A man is giving a presentation.
+  - The workers are both inside the manhole.
+datasets:
+- sentence-transformers/all-nli
+pipeline_tag: sentence-similarity
+library_name: sentence-transformers
+---
+
+# SentenceTransformer based on google-t5/t5-base
+
+This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on the [all-nli](https://huggingface.co/datasets/sentence-transformers/all-nli) dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
+
+## Model Details
+
+### Model Description
+- **Model Type:** Sentence Transformer
+- **Base model:** [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) <!-- at revision a9723ea7f1b39c1eae772870f3b547bf6ef7e6c1 -->
+- **Maximum Sequence Length:** 256 tokens
+- **Output Dimensionality:** 768 dimensions
+- **Similarity Function:** Cosine Similarity
+- **Training Dataset:**
+    - [all-nli](https://huggingface.co/datasets/sentence-transformers/all-nli)
+- **Language:** en
+<!-- - **License:** Unknown -->
+
+### Model Sources
+
+- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
+- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
+- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)
+
+### Full Model Architecture
+
+```
+SentenceTransformer(
+  (0): Transformer({'max_seq_length': 256, 'do_lower_case': False}) with Transformer model: T5EncoderModel 
+  (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
+  (2): Normalize()
+)
+```
+
+## Usage
+
+### Direct Usage (Sentence Transformers)
+
+First install the Sentence Transformers library:
+
+```bash
+pip install -U sentence-transformers
+```
+
+Then you can load this model and run inference.
+```python
+from sentence_transformers import SentenceTransformer
+
+# Download from the 🤗 Hub
+model = SentenceTransformer("sentence_transformers_model_id")
+# Run inference
+sentences = [
+    'A construction worker peeking out of a manhole while his coworker sits on the sidewalk smiling.',
+    'A worker is looking out of a manhole.',
+    'The workers are both inside the manhole.',
+]
+embeddings = model.encode(sentences)
+print(embeddings.shape)
+# [3, 768]
+
+# Get the similarity scores for the embeddings
+similarities = model.similarity(embeddings, embeddings)
+print(similarities.shape)
+# [3, 3]
+```
+
+<!--
+### Direct Usage (Transformers)
+
+<details><summary>Click to see the direct usage in Transformers</summary>
+
+</details>
+-->
+
+<!--
+### Downstream Usage (Sentence Transformers)
+
+You can finetune this model on your own dataset.
+
+<details><summary>Click to expand</summary>
+
+</details>
+-->
+
+<!--
+### Out-of-Scope Use
+
+*List how the model may foreseeably be misused and address what users ought not to do with the model.*
+-->
+
+<!--
+## Bias, Risks and Limitations
+
+*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
+-->
+
+<!--
+### Recommendations
+
+*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
+-->
+
+## Training Details
+
+### Training Dataset
+
+#### all-nli
+
+* Dataset: [all-nli](https://huggingface.co/datasets/sentence-transformers/all-nli) at [d482672](https://huggingface.co/datasets/sentence-transformers/all-nli/tree/d482672c8e74ce18da116f430137434ba2e52fab)
+* Size: 557,850 training samples
+* Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code>
+* Approximate statistics based on the first 1000 samples:
+  |         | anchor                                                                           | positive                                                                          | negative                                                                          |
+  |:--------|:---------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|
+  | type    | string                                                                           | string                                                                            | string                                                                            |
+  | details | <ul><li>min: 6 tokens</li><li>mean: 9.96 tokens</li><li>max: 52 tokens</li></ul> | <ul><li>min: 5 tokens</li><li>mean: 12.79 tokens</li><li>max: 44 tokens</li></ul> | <ul><li>min: 4 tokens</li><li>mean: 14.02 tokens</li><li>max: 57 tokens</li></ul> |
+* Samples:
+  | anchor                                                                     | positive                                         | negative                                                   |
+  |:---------------------------------------------------------------------------|:-------------------------------------------------|:-----------------------------------------------------------|
+  | <code>A person on a horse jumps over a broken down airplane.</code>        | <code>A person is outdoors, on a horse.</code>   | <code>A person is at a diner, ordering an omelette.</code> |
+  | <code>Children smiling and waving at camera</code>                         | <code>There are children present</code>          | <code>The kids are frowning</code>                         |
+  | <code>A boy is jumping on skateboard in the middle of a red bridge.</code> | <code>The boy does a skateboarding trick.</code> | <code>The boy skates down the sidewalk.</code>             |
+* Loss: [<code>MultipleNegativesRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativesrankingloss) with these parameters:
+  ```json
+  {
+      "scale": 20.0,
+      "similarity_fct": "cos_sim"
+  }
+  ```
+
+### Evaluation Dataset
+
+#### all-nli
+
+* Dataset: [all-nli](https://huggingface.co/datasets/sentence-transformers/all-nli) at [d482672](https://huggingface.co/datasets/sentence-transformers/all-nli/tree/d482672c8e74ce18da116f430137434ba2e52fab)
+* Size: 6,584 evaluation samples
+* Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code>
+* Approximate statistics based on the first 1000 samples:
+  |         | anchor                                                                            | positive                                                                         | negative                                                                          |
+  |:--------|:----------------------------------------------------------------------------------|:---------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|
+  | type    | string                                                                            | string                                                                           | string                                                                            |
+  | details | <ul><li>min: 5 tokens</li><li>mean: 19.41 tokens</li><li>max: 79 tokens</li></ul> | <ul><li>min: 4 tokens</li><li>mean: 9.69 tokens</li><li>max: 35 tokens</li></ul> | <ul><li>min: 4 tokens</li><li>mean: 10.35 tokens</li><li>max: 30 tokens</li></ul> |
+* Samples:
+  | anchor                                                                                                                                                                         | positive                                                    | negative                                                |
+  |:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------|:--------------------------------------------------------|
+  | <code>Two women are embracing while holding to go packages.</code>                                                                                                             | <code>Two woman are holding packages.</code>                | <code>The men are fighting outside a deli.</code>       |
+  | <code>Two young children in blue jerseys, one with the number 9 and one with the number 2 are standing on wooden steps in a bathroom and washing their hands in a sink.</code> | <code>Two kids in numbered jerseys wash their hands.</code> | <code>Two kids in jackets walk to school.</code>        |
+  | <code>A man selling donuts to a customer during a world exhibition event held in the city of Angeles</code>                                                                    | <code>A man selling donuts to a customer.</code>            | <code>A woman drinks her coffee in a small cafe.</code> |
+* Loss: [<code>MultipleNegativesRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativesrankingloss) with these parameters:
+  ```json
+  {
+      "scale": 20.0,
+      "similarity_fct": "cos_sim"
+  }
+  ```
+
+### Training Hyperparameters
+#### Non-Default Hyperparameters
+
+- `eval_strategy`: steps
+- `per_device_train_batch_size`: 64
+- `per_device_eval_batch_size`: 64
+- `learning_rate`: 1e-05
+- `warmup_ratio`: 0.1
+- `batch_sampler`: no_duplicates
+
+#### All Hyperparameters
+<details><summary>Click to expand</summary>
+
+- `overwrite_output_dir`: False
+- `do_predict`: False
+- `eval_strategy`: steps
+- `prediction_loss_only`: True
+- `per_device_train_batch_size`: 64
+- `per_device_eval_batch_size`: 64
+- `per_gpu_train_batch_size`: None
+- `per_gpu_eval_batch_size`: None
+- `gradient_accumulation_steps`: 1
+- `eval_accumulation_steps`: None
+- `torch_empty_cache_steps`: None
+- `learning_rate`: 1e-05
+- `weight_decay`: 0.0
+- `adam_beta1`: 0.9
+- `adam_beta2`: 0.999
+- `adam_epsilon`: 1e-08
+- `max_grad_norm`: 1.0
+- `num_train_epochs`: 3
+- `max_steps`: -1
+- `lr_scheduler_type`: linear
+- `lr_scheduler_kwargs`: {}
+- `warmup_ratio`: 0.1
+- `warmup_steps`: 0
+- `log_level`: passive
+- `log_level_replica`: warning
+- `log_on_each_node`: True
+- `logging_nan_inf_filter`: True
+- `save_safetensors`: True
+- `save_on_each_node`: False
+- `save_only_model`: False
+- `restore_callback_states_from_checkpoint`: False
+- `no_cuda`: False
+- `use_cpu`: False
+- `use_mps_device`: False
+- `seed`: 42
+- `data_seed`: None
+- `jit_mode_eval`: False
+- `use_ipex`: False
+- `bf16`: False
+- `fp16`: False
+- `fp16_opt_level`: O1
+- `half_precision_backend`: auto
+- `bf16_full_eval`: False
+- `fp16_full_eval`: False
+- `tf32`: None
+- `local_rank`: 0
+- `ddp_backend`: None
+- `tpu_num_cores`: None
+- `tpu_metrics_debug`: False
+- `debug`: []
+- `dataloader_drop_last`: False
+- `dataloader_num_workers`: 0
+- `dataloader_prefetch_factor`: None
+- `past_index`: -1
+- `disable_tqdm`: False
+- `remove_unused_columns`: True
+- `label_names`: None
+- `load_best_model_at_end`: False
+- `ignore_data_skip`: False
+- `fsdp`: []
+- `fsdp_min_num_params`: 0
+- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
+- `fsdp_transformer_layer_cls_to_wrap`: None
+- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
+- `deepspeed`: None
+- `label_smoothing_factor`: 0.0
+- `optim`: adamw_torch
+- `optim_args`: None
+- `adafactor`: False
+- `group_by_length`: False
+- `length_column_name`: length
+- `ddp_find_unused_parameters`: None
+- `ddp_bucket_cap_mb`: None
+- `ddp_broadcast_buffers`: False
+- `dataloader_pin_memory`: True
+- `dataloader_persistent_workers`: False
+- `skip_memory_metrics`: True
+- `use_legacy_prediction_loop`: False
+- `push_to_hub`: False
+- `resume_from_checkpoint`: None
+- `hub_model_id`: None
+- `hub_strategy`: every_save
+- `hub_private_repo`: None
+- `hub_always_push`: False
+- `gradient_checkpointing`: False
+- `gradient_checkpointing_kwargs`: None
+- `include_inputs_for_metrics`: False
+- `include_for_metrics`: []
+- `eval_do_concat_batches`: True
+- `fp16_backend`: auto
+- `push_to_hub_model_id`: None
+- `push_to_hub_organization`: None
+- `mp_parameters`: 
+- `auto_find_batch_size`: False
+- `full_determinism`: False
+- `torchdynamo`: None
+- `ray_scope`: last
+- `ddp_timeout`: 1800
+- `torch_compile`: False
+- `torch_compile_backend`: None
+- `torch_compile_mode`: None
+- `dispatch_batches`: None
+- `split_batches`: None
+- `include_tokens_per_second`: False
+- `include_num_input_tokens_seen`: False
+- `neftune_noise_alpha`: None
+- `optim_target_modules`: None
+- `batch_eval_metrics`: False
+- `eval_on_start`: False
+- `use_liger_kernel`: False
+- `eval_use_gather_object`: False
+- `average_tokens_across_devices`: False
+- `prompts`: None
+- `batch_sampler`: no_duplicates
+- `multi_dataset_batch_sampler`: proportional
+
+</details>
+
+### Training Logs
+<details><summary>Click to expand</summary>
+
+| Epoch  | Step | Training Loss | Validation Loss |
+|:------:|:----:|:-------------:|:---------------:|
+| 0.0011 | 10   | -             | 1.8733          |
+| 0.0023 | 20   | -             | 1.8726          |
+| 0.0034 | 30   | -             | 1.8714          |
+| 0.0046 | 40   | -             | 1.8697          |
+| 0.0057 | 50   | -             | 1.8675          |
+| 0.0069 | 60   | -             | 1.8649          |
+| 0.0080 | 70   | -             | 1.8619          |
+| 0.0092 | 80   | -             | 1.8584          |
+| 0.0103 | 90   | -             | 1.8544          |
+| 0.0115 | 100  | 3.1046        | 1.8499          |
+| 0.0126 | 110  | -             | 1.8451          |
+| 0.0138 | 120  | -             | 1.8399          |
+| 0.0149 | 130  | -             | 1.8343          |
+| 0.0161 | 140  | -             | 1.8283          |
+| 0.0172 | 150  | -             | 1.8223          |
+| 0.0184 | 160  | -             | 1.8159          |
+| 0.0195 | 170  | -             | 1.8091          |
+| 0.0206 | 180  | -             | 1.8016          |
+| 0.0218 | 190  | -             | 1.7938          |
+| 0.0229 | 200  | 3.0303        | 1.7858          |
+| 0.0241 | 210  | -             | 1.7775          |
+| 0.0252 | 220  | -             | 1.7693          |
+| 0.0264 | 230  | -             | 1.7605          |
+| 0.0275 | 240  | -             | 1.7514          |
+| 0.0287 | 250  | -             | 1.7417          |
+| 0.0298 | 260  | -             | 1.7320          |
+| 0.0310 | 270  | -             | 1.7227          |
+| 0.0321 | 280  | -             | 1.7134          |
+| 0.0333 | 290  | -             | 1.7040          |
+| 0.0344 | 300  | 2.9459        | 1.6941          |
+| 0.0356 | 310  | -             | 1.6833          |
+| 0.0367 | 320  | -             | 1.6725          |
+| 0.0379 | 330  | -             | 1.6614          |
+| 0.0390 | 340  | -             | 1.6510          |
+| 0.0402 | 350  | -             | 1.6402          |
+| 0.0413 | 360  | -             | 1.6296          |
+| 0.0424 | 370  | -             | 1.6187          |
+| 0.0436 | 380  | -             | 1.6073          |
+| 0.0447 | 390  | -             | 1.5962          |
+| 0.0459 | 400  | 2.7813        | 1.5848          |
+| 0.0470 | 410  | -             | 1.5735          |
+| 0.0482 | 420  | -             | 1.5620          |
+| 0.0493 | 430  | -             | 1.5495          |
+| 0.0505 | 440  | -             | 1.5375          |
+| 0.0516 | 450  | -             | 1.5256          |
+| 0.0528 | 460  | -             | 1.5133          |
+| 0.0539 | 470  | -             | 1.5012          |
+| 0.0551 | 480  | -             | 1.4892          |
+| 0.0562 | 490  | -             | 1.4769          |
+| 0.0574 | 500  | 2.6308        | 1.4640          |
+| 0.0585 | 510  | -             | 1.4513          |
+| 0.0597 | 520  | -             | 1.4391          |
+| 0.0608 | 530  | -             | 1.4262          |
+| 0.0619 | 540  | -             | 1.4130          |
+| 0.0631 | 550  | -             | 1.3998          |
+| 0.0642 | 560  | -             | 1.3874          |
+| 0.0654 | 570  | -             | 1.3752          |
+| 0.0665 | 580  | -             | 1.3620          |
+| 0.0677 | 590  | -             | 1.3485          |
+| 0.0688 | 600  | 2.4452        | 1.3350          |
+| 0.0700 | 610  | -             | 1.3213          |
+| 0.0711 | 620  | -             | 1.3088          |
+| 0.0723 | 630  | -             | 1.2965          |
+| 0.0734 | 640  | -             | 1.2839          |
+| 0.0746 | 650  | -             | 1.2713          |
+| 0.0757 | 660  | -             | 1.2592          |
+| 0.0769 | 670  | -             | 1.2466          |
+| 0.0780 | 680  | -             | 1.2332          |
+| 0.0792 | 690  | -             | 1.2203          |
+| 0.0803 | 700  | 2.2626        | 1.2077          |
+| 0.0815 | 710  | -             | 1.1959          |
+| 0.0826 | 720  | -             | 1.1841          |
+| 0.0837 | 730  | -             | 1.1725          |
+| 0.0849 | 740  | -             | 1.1619          |
+| 0.0860 | 750  | -             | 1.1516          |
+| 0.0872 | 760  | -             | 1.1416          |
+| 0.0883 | 770  | -             | 1.1320          |
+| 0.0895 | 780  | -             | 1.1227          |
+| 0.0906 | 790  | -             | 1.1138          |
+| 0.0918 | 800  | 2.0044        | 1.1053          |
+| 0.0929 | 810  | -             | 1.0965          |
+| 0.0941 | 820  | -             | 1.0879          |
+| 0.0952 | 830  | -             | 1.0796          |
+| 0.0964 | 840  | -             | 1.0718          |
+| 0.0975 | 850  | -             | 1.0644          |
+| 0.0987 | 860  | -             | 1.0564          |
+| 0.0998 | 870  | -             | 1.0490          |
+| 0.1010 | 880  | -             | 1.0417          |
+| 0.1021 | 890  | -             | 1.0354          |
+| 0.1032 | 900  | 1.8763        | 1.0296          |
+| 0.1044 | 910  | -             | 1.0239          |
+| 0.1055 | 920  | -             | 1.0180          |
+| 0.1067 | 930  | -             | 1.0123          |
+| 0.1078 | 940  | -             | 1.0065          |
+| 0.1090 | 950  | -             | 1.0008          |
+| 0.1101 | 960  | -             | 0.9950          |
+| 0.1113 | 970  | -             | 0.9894          |
+| 0.1124 | 980  | -             | 0.9840          |
+| 0.1136 | 990  | -             | 0.9793          |
+| 0.1147 | 1000 | 1.7287        | 0.9752          |
+| 0.1159 | 1010 | -             | 0.9706          |
+| 0.1170 | 1020 | -             | 0.9659          |
+| 0.1182 | 1030 | -             | 0.9615          |
+| 0.1193 | 1040 | -             | 0.9572          |
+| 0.1205 | 1050 | -             | 0.9531          |
+| 0.1216 | 1060 | -             | 0.9494          |
+| 0.1227 | 1070 | -             | 0.9456          |
+| 0.1239 | 1080 | -             | 0.9415          |
+| 0.1250 | 1090 | -             | 0.9377          |
+| 0.1262 | 1100 | 1.6312        | 0.9339          |
+| 0.1273 | 1110 | -             | 0.9303          |
+| 0.1285 | 1120 | -             | 0.9267          |
+| 0.1296 | 1130 | -             | 0.9232          |
+| 0.1308 | 1140 | -             | 0.9197          |
+| 0.1319 | 1150 | -             | 0.9162          |
+| 0.1331 | 1160 | -             | 0.9128          |
+| 0.1342 | 1170 | -             | 0.9097          |
+| 0.1354 | 1180 | -             | 0.9069          |
+| 0.1365 | 1190 | -             | 0.9040          |
+| 0.1377 | 1200 | 1.5316        | 0.9010          |
+| 0.1388 | 1210 | -             | 0.8979          |
+| 0.1400 | 1220 | -             | 0.8947          |
+| 0.1411 | 1230 | -             | 0.8915          |
+| 0.1423 | 1240 | -             | 0.8888          |
+| 0.1434 | 1250 | -             | 0.8861          |
+| 0.1445 | 1260 | -             | 0.8833          |
+| 0.1457 | 1270 | -             | 0.8806          |
+| 0.1468 | 1280 | -             | 0.8779          |
+| 0.1480 | 1290 | -             | 0.8748          |
+| 0.1491 | 1300 | 1.4961        | 0.8718          |
+| 0.1503 | 1310 | -             | 0.8690          |
+| 0.1514 | 1320 | -             | 0.8664          |
+| 0.1526 | 1330 | -             | 0.8635          |
+| 0.1537 | 1340 | -             | 0.8603          |
+| 0.1549 | 1350 | -             | 0.8574          |
+| 0.1560 | 1360 | -             | 0.8545          |
+| 0.1572 | 1370 | -             | 0.8521          |
+| 0.1583 | 1380 | -             | 0.8497          |
+| 0.1595 | 1390 | -             | 0.8474          |
+| 0.1606 | 1400 | 1.451         | 0.8453          |
+| 0.1618 | 1410 | -             | 0.8429          |
+| 0.1629 | 1420 | -             | 0.8404          |
+| 0.1640 | 1430 | -             | 0.8380          |
+| 0.1652 | 1440 | -             | 0.8357          |
+| 0.1663 | 1450 | -             | 0.8336          |
+| 0.1675 | 1460 | -             | 0.8312          |
+| 0.1686 | 1470 | -             | 0.8289          |
+| 0.1698 | 1480 | -             | 0.8262          |
+| 0.1709 | 1490 | -             | 0.8236          |
+| 0.1721 | 1500 | 1.4177        | 0.8213          |
+| 0.1732 | 1510 | -             | 0.8189          |
+| 0.1744 | 1520 | -             | 0.8168          |
+| 0.1755 | 1530 | -             | 0.8147          |
+| 0.1767 | 1540 | -             | 0.8127          |
+| 0.1778 | 1550 | -             | 0.8107          |
+| 0.1790 | 1560 | -             | 0.8082          |
+| 0.1801 | 1570 | -             | 0.8059          |
+| 0.1813 | 1580 | -             | 0.8036          |
+| 0.1824 | 1590 | -             | 0.8015          |
+| 0.1835 | 1600 | 1.3734        | 0.7993          |
+| 0.1847 | 1610 | -             | 0.7970          |
+| 0.1858 | 1620 | -             | 0.7948          |
+| 0.1870 | 1630 | -             | 0.7922          |
+| 0.1881 | 1640 | -             | 0.7900          |
+| 0.1893 | 1650 | -             | 0.7877          |
+| 0.1904 | 1660 | -             | 0.7852          |
+| 0.1916 | 1670 | -             | 0.7829          |
+| 0.1927 | 1680 | -             | 0.7804          |
+| 0.1939 | 1690 | -             | 0.7779          |
+| 0.1950 | 1700 | 1.3327        | 0.7757          |
+| 0.1962 | 1710 | -             | 0.7738          |
+| 0.1973 | 1720 | -             | 0.7719          |
+| 0.1985 | 1730 | -             | 0.7700          |
+| 0.1996 | 1740 | -             | 0.7679          |
+| 0.2008 | 1750 | -             | 0.7658          |
+| 0.2019 | 1760 | -             | 0.7641          |
+| 0.2031 | 1770 | -             | 0.7621          |
+| 0.2042 | 1780 | -             | 0.7601          |
+| 0.2053 | 1790 | -             | 0.7580          |
+| 0.2065 | 1800 | 1.2804        | 0.7558          |
+| 0.2076 | 1810 | -             | 0.7536          |
+| 0.2088 | 1820 | -             | 0.7514          |
+| 0.2099 | 1830 | -             | 0.7493          |
+| 0.2111 | 1840 | -             | 0.7473          |
+| 0.2122 | 1850 | -             | 0.7451          |
+| 0.2134 | 1860 | -             | 0.7429          |
+| 0.2145 | 1870 | -             | 0.7408          |
+| 0.2157 | 1880 | -             | 0.7389          |
+| 0.2168 | 1890 | -             | 0.7368          |
+| 0.2180 | 1900 | 1.2255        | 0.7349          |
+| 0.2191 | 1910 | -             | 0.7328          |
+| 0.2203 | 1920 | -             | 0.7310          |
+| 0.2214 | 1930 | -             | 0.7293          |
+| 0.2226 | 1940 | -             | 0.7277          |
+| 0.2237 | 1950 | -             | 0.7259          |
+| 0.2248 | 1960 | -             | 0.7240          |
+| 0.2260 | 1970 | -             | 0.7221          |
+| 0.2271 | 1980 | -             | 0.7203          |
+| 0.2283 | 1990 | -             | 0.7184          |
+| 0.2294 | 2000 | 1.2635        | 0.7165          |
+| 0.2306 | 2010 | -             | 0.7150          |
+| 0.2317 | 2020 | -             | 0.7135          |
+| 0.2329 | 2030 | -             | 0.7117          |
+| 0.2340 | 2040 | -             | 0.7099          |
+| 0.2352 | 2050 | -             | 0.7084          |
+| 0.2363 | 2060 | -             | 0.7068          |
+| 0.2375 | 2070 | -             | 0.7054          |
+| 0.2386 | 2080 | -             | 0.7037          |
+| 0.2398 | 2090 | -             | 0.7023          |
+| 0.2409 | 2100 | 1.1912        | 0.7009          |
+| 0.2421 | 2110 | -             | 0.6991          |
+| 0.2432 | 2120 | -             | 0.6974          |
+| 0.2444 | 2130 | -             | 0.6962          |
+| 0.2455 | 2140 | -             | 0.6950          |
+| 0.2466 | 2150 | -             | 0.6938          |
+| 0.2478 | 2160 | -             | 0.6922          |
+| 0.2489 | 2170 | -             | 0.6909          |
+| 0.2501 | 2180 | -             | 0.6897          |
+| 0.2512 | 2190 | -             | 0.6884          |
+| 0.2524 | 2200 | 1.2144        | 0.6868          |
+| 0.2535 | 2210 | -             | 0.6856          |
+| 0.2547 | 2220 | -             | 0.6843          |
+| 0.2558 | 2230 | -             | 0.6829          |
+| 0.2570 | 2240 | -             | 0.6817          |
+| 0.2581 | 2250 | -             | 0.6804          |
+| 0.2593 | 2260 | -             | 0.6789          |
+| 0.2604 | 2270 | -             | 0.6775          |
+| 0.2616 | 2280 | -             | 0.6763          |
+| 0.2627 | 2290 | -             | 0.6751          |
+| 0.2639 | 2300 | 1.1498        | 0.6739          |
+| 0.2650 | 2310 | -             | 0.6725          |
+| 0.2661 | 2320 | -             | 0.6711          |
+| 0.2673 | 2330 | -             | 0.6698          |
+| 0.2684 | 2340 | -             | 0.6684          |
+| 0.2696 | 2350 | -             | 0.6666          |
+| 0.2707 | 2360 | -             | 0.6653          |
+| 0.2719 | 2370 | -             | 0.6638          |
+| 0.2730 | 2380 | -             | 0.6621          |
+| 0.2742 | 2390 | -             | 0.6609          |
+| 0.2753 | 2400 | 1.1446        | 0.6596          |
+| 0.2765 | 2410 | -             | 0.6582          |
+| 0.2776 | 2420 | -             | 0.6568          |
+| 0.2788 | 2430 | -             | 0.6553          |
+| 0.2799 | 2440 | -             | 0.6541          |
+| 0.2811 | 2450 | -             | 0.6527          |
+| 0.2822 | 2460 | -             | 0.6513          |
+| 0.2834 | 2470 | -             | 0.6496          |
+| 0.2845 | 2480 | -             | 0.6483          |
+| 0.2856 | 2490 | -             | 0.6475          |
+| 0.2868 | 2500 | 1.1309        | 0.6465          |
+| 0.2879 | 2510 | -             | 0.6455          |
+| 0.2891 | 2520 | -             | 0.6447          |
+| 0.2902 | 2530 | -             | 0.6437          |
+| 0.2914 | 2540 | -             | 0.6428          |
+| 0.2925 | 2550 | -             | 0.6415          |
+| 0.2937 | 2560 | -             | 0.6403          |
+| 0.2948 | 2570 | -             | 0.6392          |
+| 0.2960 | 2580 | -             | 0.6381          |
+| 0.2971 | 2590 | -             | 0.6371          |
+| 0.2983 | 2600 | 1.1006        | 0.6358          |
+| 0.2994 | 2610 | -             | 0.6348          |
+| 0.3006 | 2620 | -             | 0.6340          |
+| 0.3017 | 2630 | -             | 0.6330          |
+| 0.3029 | 2640 | -             | 0.6319          |
+| 0.3040 | 2650 | -             | 0.6308          |
+| 0.3052 | 2660 | -             | 0.6300          |
+| 0.3063 | 2670 | -             | 0.6291          |
+| 0.3074 | 2680 | -             | 0.6280          |
+| 0.3086 | 2690 | -             | 0.6268          |
+| 0.3097 | 2700 | 1.0772        | 0.6254          |
+| 0.3109 | 2710 | -             | 0.6243          |
+| 0.3120 | 2720 | -             | 0.6232          |
+| 0.3132 | 2730 | -             | 0.6224          |
+| 0.3143 | 2740 | -             | 0.6215          |
+| 0.3155 | 2750 | -             | 0.6205          |
+| 0.3166 | 2760 | -             | 0.6194          |
+| 0.3178 | 2770 | -             | 0.6183          |
+| 0.3189 | 2780 | -             | 0.6171          |
+| 0.3201 | 2790 | -             | 0.6160          |
+| 0.3212 | 2800 | 1.0648        | 0.6153          |
+| 0.3224 | 2810 | -             | 0.6141          |
+| 0.3235 | 2820 | -             | 0.6129          |
+| 0.3247 | 2830 | -             | 0.6119          |
+| 0.3258 | 2840 | -             | 0.6109          |
+| 0.3269 | 2850 | -             | 0.6099          |
+| 0.3281 | 2860 | -             | 0.6088          |
+| 0.3292 | 2870 | -             | 0.6079          |
+| 0.3304 | 2880 | -             | 0.6073          |
+| 0.3315 | 2890 | -             | 0.6063          |
+| 0.3327 | 2900 | 1.0398        | 0.6054          |
+| 0.3338 | 2910 | -             | 0.6044          |
+| 0.3350 | 2920 | -             | 0.6033          |
+| 0.3361 | 2930 | -             | 0.6022          |
+| 0.3373 | 2940 | -             | 0.6012          |
+| 0.3384 | 2950 | -             | 0.6003          |
+| 0.3396 | 2960 | -             | 0.5993          |
+| 0.3407 | 2970 | -             | 0.5986          |
+| 0.3419 | 2980 | -             | 0.5978          |
+| 0.3430 | 2990 | -             | 0.5967          |
+| 0.3442 | 3000 | 1.0256        | 0.5959          |
+| 0.3453 | 3010 | -             | 0.5947          |
+| 0.3464 | 3020 | -             | 0.5937          |
+| 0.3476 | 3030 | -             | 0.5929          |
+| 0.3487 | 3040 | -             | 0.5920          |
+| 0.3499 | 3050 | -             | 0.5908          |
+| 0.3510 | 3060 | -             | 0.5897          |
+| 0.3522 | 3070 | -             | 0.5888          |
+| 0.3533 | 3080 | -             | 0.5882          |
+| 0.3545 | 3090 | -             | 0.5874          |
+| 0.3556 | 3100 | 1.0489        | 0.5868          |
+| 0.3568 | 3110 | -             | 0.5860          |
+| 0.3579 | 3120 | -             | 0.5854          |
+| 0.3591 | 3130 | -             | 0.5839          |
+| 0.3602 | 3140 | -             | 0.5830          |
+| 0.3614 | 3150 | -             | 0.5822          |
+| 0.3625 | 3160 | -             | 0.5814          |
+| 0.3637 | 3170 | -             | 0.5808          |
+| 0.3648 | 3180 | -             | 0.5802          |
+| 0.3660 | 3190 | -             | 0.5794          |
+| 0.3671 | 3200 | 1.038         | 0.5788          |
+| 0.3682 | 3210 | -             | 0.5778          |
+| 0.3694 | 3220 | -             | 0.5770          |
+| 0.3705 | 3230 | -             | 0.5763          |
+| 0.3717 | 3240 | -             | 0.5752          |
+| 0.3728 | 3250 | -             | 0.5745          |
+| 0.3740 | 3260 | -             | 0.5737          |
+| 0.3751 | 3270 | -             | 0.5728          |
+| 0.3763 | 3280 | -             | 0.5720          |
+| 0.3774 | 3290 | -             | 0.5713          |
+| 0.3786 | 3300 | 1.0058        | 0.5707          |
+| 0.3797 | 3310 | -             | 0.5700          |
+| 0.3809 | 3320 | -             | 0.5690          |
+| 0.3820 | 3330 | -             | 0.5681          |
+| 0.3832 | 3340 | -             | 0.5673          |
+| 0.3843 | 3350 | -             | 0.5669          |
+| 0.3855 | 3360 | -             | 0.5667          |
+| 0.3866 | 3370 | -             | 0.5665          |
+| 0.3877 | 3380 | -             | 0.5659          |
+| 0.3889 | 3390 | -             | 0.5650          |
+| 0.3900 | 3400 | 1.0413        | 0.5645          |
+| 0.3912 | 3410 | -             | 0.5641          |
+| 0.3923 | 3420 | -             | 0.5635          |
+| 0.3935 | 3430 | -             | 0.5629          |
+| 0.3946 | 3440 | -             | 0.5622          |
+| 0.3958 | 3450 | -             | 0.5617          |
+| 0.3969 | 3460 | -             | 0.5614          |
+| 0.3981 | 3470 | -             | 0.5607          |
+| 0.3992 | 3480 | -             | 0.5603          |
+| 0.4004 | 3490 | -             | 0.5598          |
+| 0.4015 | 3500 | 0.938         | 0.5596          |
+| 0.4027 | 3510 | -             | 0.5589          |
+| 0.4038 | 3520 | -             | 0.5581          |
+| 0.4050 | 3530 | -             | 0.5571          |
+| 0.4061 | 3540 | -             | 0.5563          |
+| 0.4073 | 3550 | -             | 0.5557          |
+| 0.4084 | 3560 | -             | 0.5551          |
+| 0.4095 | 3570 | -             | 0.5546          |
+| 0.4107 | 3580 | -             | 0.5541          |
+| 0.4118 | 3590 | -             | 0.5535          |
+| 0.4130 | 3600 | 0.955         | 0.5528          |
+| 0.4141 | 3610 | -             | 0.5522          |
+| 0.4153 | 3620 | -             | 0.5516          |
+| 0.4164 | 3630 | -             | 0.5509          |
+| 0.4176 | 3640 | -             | 0.5503          |
+| 0.4187 | 3650 | -             | 0.5495          |
+| 0.4199 | 3660 | -             | 0.5490          |
+| 0.4210 | 3670 | -             | 0.5481          |
+| 0.4222 | 3680 | -             | 0.5475          |
+| 0.4233 | 3690 | -             | 0.5467          |
+| 0.4245 | 3700 | 0.9387        | 0.5463          |
+| 0.4256 | 3710 | -             | 0.5459          |
+| 0.4268 | 3720 | -             | 0.5452          |
+| 0.4279 | 3730 | -             | 0.5448          |
+| 0.4290 | 3740 | -             | 0.5443          |
+| 0.4302 | 3750 | -             | 0.5440          |
+| 0.4313 | 3760 | -             | 0.5435          |
+| 0.4325 | 3770 | -             | 0.5430          |
+| 0.4336 | 3780 | -             | 0.5423          |
+| 0.4348 | 3790 | -             | 0.5418          |
+| 0.4359 | 3800 | 0.9672        | 0.5415          |
+| 0.4371 | 3810 | -             | 0.5413          |
+| 0.4382 | 3820 | -             | 0.5410          |
+| 0.4394 | 3830 | -             | 0.5406          |
+| 0.4405 | 3840 | -             | 0.5403          |
+| 0.4417 | 3850 | -             | 0.5397          |
+| 0.4428 | 3860 | -             | 0.5394          |
+| 0.4440 | 3870 | -             | 0.5386          |
+| 0.4451 | 3880 | -             | 0.5378          |
+| 0.4463 | 3890 | -             | 0.5370          |
+| 0.4474 | 3900 | 0.926         | 0.5360          |
+| 0.4485 | 3910 | -             | 0.5351          |
+| 0.4497 | 3920 | -             | 0.5346          |
+| 0.4508 | 3930 | -             | 0.5343          |
+| 0.4520 | 3940 | -             | 0.5339          |
+| 0.4531 | 3950 | -             | 0.5337          |
+| 0.4543 | 3960 | -             | 0.5334          |
+| 0.4554 | 3970 | -             | 0.5330          |
+| 0.4566 | 3980 | -             | 0.5327          |
+| 0.4577 | 3990 | -             | 0.5324          |
+| 0.4589 | 4000 | 0.867         | 0.5319          |
+| 0.4600 | 4010 | -             | 0.5313          |
+| 0.4612 | 4020 | -             | 0.5308          |
+| 0.4623 | 4030 | -             | 0.5300          |
+| 0.4635 | 4040 | -             | 0.5293          |
+| 0.4646 | 4050 | -             | 0.5287          |
+| 0.4658 | 4060 | -             | 0.5284          |
+| 0.4669 | 4070 | -             | 0.5281          |
+| 0.4681 | 4080 | -             | 0.5277          |
+| 0.4692 | 4090 | -             | 0.5272          |
+| 0.4703 | 4100 | 0.916         | 0.5267          |
+| 0.4715 | 4110 | -             | 0.5260          |
+| 0.4726 | 4120 | -             | 0.5252          |
+| 0.4738 | 4130 | -             | 0.5246          |
+| 0.4749 | 4140 | -             | 0.5239          |
+| 0.4761 | 4150 | -             | 0.5232          |
+| 0.4772 | 4160 | -             | 0.5225          |
+| 0.4784 | 4170 | -             | 0.5221          |
+| 0.4795 | 4180 | -             | 0.5216          |
+| 0.4807 | 4190 | -             | 0.5211          |
+| 0.4818 | 4200 | 0.9667        | 0.5206          |
+| 0.4830 | 4210 | -             | 0.5204          |
+| 0.4841 | 4220 | -             | 0.5200          |
+| 0.4853 | 4230 | -             | 0.5192          |
+| 0.4864 | 4240 | -             | 0.5187          |
+| 0.4876 | 4250 | -             | 0.5185          |
+| 0.4887 | 4260 | -             | 0.5179          |
+| 0.4898 | 4270 | -             | 0.5173          |
+| 0.4910 | 4280 | -             | 0.5170          |
+| 0.4921 | 4290 | -             | 0.5165          |
+| 0.4933 | 4300 | 0.9276        | 0.5160          |
+| 0.4944 | 4310 | -             | 0.5154          |
+| 0.4956 | 4320 | -             | 0.5150          |
+| 0.4967 | 4330 | -             | 0.5144          |
+| 0.4979 | 4340 | -             | 0.5141          |
+| 0.4990 | 4350 | -             | 0.5139          |
+| 0.5002 | 4360 | -             | 0.5138          |
+| 0.5013 | 4370 | -             | 0.5136          |
+| 0.5025 | 4380 | -             | 0.5133          |
+| 0.5036 | 4390 | -             | 0.5129          |
+| 0.5048 | 4400 | 0.9331        | 0.5126          |
+| 0.5059 | 4410 | -             | 0.5123          |
+| 0.5071 | 4420 | -             | 0.5117          |
+| 0.5082 | 4430 | -             | 0.5113          |
+| 0.5093 | 4440 | -             | 0.5108          |
+| 0.5105 | 4450 | -             | 0.5106          |
+| 0.5116 | 4460 | -             | 0.5106          |
+| 0.5128 | 4470 | -             | 0.5106          |
+| 0.5139 | 4480 | -             | 0.5104          |
+| 0.5151 | 4490 | -             | 0.5102          |
+| 0.5162 | 4500 | 0.907         | 0.5097          |
+| 0.5174 | 4510 | -             | 0.5092          |
+| 0.5185 | 4520 | -             | 0.5086          |
+| 0.5197 | 4530 | -             | 0.5082          |
+| 0.5208 | 4540 | -             | 0.5079          |
+| 0.5220 | 4550 | -             | 0.5075          |
+| 0.5231 | 4560 | -             | 0.5071          |
+| 0.5243 | 4570 | -             | 0.5067          |
+| 0.5254 | 4580 | -             | 0.5066          |
+| 0.5266 | 4590 | -             | 0.5062          |
+| 0.5277 | 4600 | 0.913         | 0.5059          |
+| 0.5289 | 4610 | -             | 0.5056          |
+| 0.5300 | 4620 | -             | 0.5052          |
+| 0.5311 | 4630 | -             | 0.5046          |
+| 0.5323 | 4640 | -             | 0.5039          |
+| 0.5334 | 4650 | -             | 0.5033          |
+| 0.5346 | 4660 | -             | 0.5030          |
+| 0.5357 | 4670 | -             | 0.5028          |
+| 0.5369 | 4680 | -             | 0.5027          |
+| 0.5380 | 4690 | -             | 0.5023          |
+| 0.5392 | 4700 | 0.9047        | 0.5020          |
+| 0.5403 | 4710 | -             | 0.5018          |
+| 0.5415 | 4720 | -             | 0.5015          |
+| 0.5426 | 4730 | -             | 0.5009          |
+| 0.5438 | 4740 | -             | 0.5003          |
+| 0.5449 | 4750 | -             | 0.4997          |
+| 0.5461 | 4760 | -             | 0.4991          |
+| 0.5472 | 4770 | -             | 0.4984          |
+| 0.5484 | 4780 | -             | 0.4980          |
+| 0.5495 | 4790 | -             | 0.4980          |
+| 0.5506 | 4800 | 0.887         | 0.4979          |
+| 0.5518 | 4810 | -             | 0.4975          |
+| 0.5529 | 4820 | -             | 0.4973          |
+| 0.5541 | 4830 | -             | 0.4969          |
+| 0.5552 | 4840 | -             | 0.4966          |
+| 0.5564 | 4850 | -             | 0.4964          |
+| 0.5575 | 4860 | -             | 0.4964          |
+| 0.5587 | 4870 | -             | 0.4960          |
+| 0.5598 | 4880 | -             | 0.4957          |
+| 0.5610 | 4890 | -             | 0.4955          |
+| 0.5621 | 4900 | 0.8645        | 0.4952          |
+| 0.5633 | 4910 | -             | 0.4950          |
+| 0.5644 | 4920 | -             | 0.4952          |
+| 0.5656 | 4930 | -             | 0.4949          |
+| 0.5667 | 4940 | -             | 0.4943          |
+| 0.5679 | 4950 | -             | 0.4938          |
+| 0.5690 | 4960 | -             | 0.4936          |
+| 0.5702 | 4970 | -             | 0.4933          |
+| 0.5713 | 4980 | -             | 0.4931          |
+| 0.5724 | 4990 | -             | 0.4929          |
+| 0.5736 | 5000 | 0.8348        | 0.4924          |
+
+</details>
+
+### Framework Versions
+- Python: 3.12.8
+- Sentence Transformers: 3.4.1
+- Transformers: 4.49.0
+- PyTorch: 2.2.0+cu121
+- Accelerate: 1.4.0
+- Datasets: 3.3.2
+- Tokenizers: 0.21.0
+
+## Citation
+
+### BibTeX
+
+#### Sentence Transformers
+```bibtex
+@inproceedings{reimers-2019-sentence-bert,
+    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
+    author = "Reimers, Nils and Gurevych, Iryna",
+    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
+    month = "11",
+    year = "2019",
+    publisher = "Association for Computational Linguistics",
+    url = "https://arxiv.org/abs/1908.10084",
+}
+```
+
+#### MultipleNegativesRankingLoss
+```bibtex
+@misc{henderson2017efficient,
+    title={Efficient Natural Language Response Suggestion for Smart Reply},
+    author={Matthew Henderson and Rami Al-Rfou and Brian Strope and Yun-hsuan Sung and Laszlo Lukacs and Ruiqi Guo and Sanjiv Kumar and Balint Miklos and Ray Kurzweil},
+    year={2017},
+    eprint={1705.00652},
+    archivePrefix={arXiv},
+    primaryClass={cs.CL}
+}
+```
+
+<!--
+## Glossary
+
+*Clearly define terms in order to be accessible across audiences.*
+-->
+
+<!--
+## Model Card Authors
+
+*Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
+-->
+
+<!--
+## Model Card Contact
+
+*Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
+-->

config.json

@@ -0,0 +1,61 @@
+{
+  "_name_or_path": "google-t5/t5-base",
+  "architectures": [
+    "T5EncoderModel"
+  ],
+  "classifier_dropout": 0.0,
+  "d_ff": 3072,
+  "d_kv": 64,
+  "d_model": 768,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "relu",
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "relu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": false,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "n_positions": 512,
+  "num_decoder_layers": 12,
+  "num_heads": 12,
+  "num_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "task_specific_params": {
+    "summarization": {
+      "early_stopping": true,
+      "length_penalty": 2.0,
+      "max_length": 200,
+      "min_length": 30,
+      "no_repeat_ngram_size": 3,
+      "num_beams": 4,
+      "prefix": "summarize: "
+    },
+    "translation_en_to_de": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to German: "
+    },
+    "translation_en_to_fr": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to French: "
+    },
+    "translation_en_to_ro": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to Romanian: "
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.49.0",
+  "use_cache": true,
+  "vocab_size": 32128
+}

config_sentence_transformers.json

@@ -0,0 +1,10 @@
+{
+  "__version__": {
+    "sentence_transformers": "3.4.1",
+    "transformers": "4.49.0",
+    "pytorch": "2.2.0+cu121"
+  },
+  "prompts": {},
+  "default_prompt_name": null,
+  "similarity_fn_name": "cosine"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:158da23046dd3e6d0610abb49fcadd75d4531205cbbef6198c95d41b3cd808a7
+size 438525864

modules.json

@@ -0,0 +1,20 @@
+[
+  {
+    "idx": 0,
+    "name": "0",
+    "path": "",
+    "type": "sentence_transformers.models.Transformer"
+  },
+  {
+    "idx": 1,
+    "name": "1",
+    "path": "1_Pooling",
+    "type": "sentence_transformers.models.Pooling"
+  },
+  {
+    "idx": 2,
+    "name": "2",
+    "path": "2_Normalize",
+    "type": "sentence_transformers.models.Normalize"
+  }
+]

optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:10fe0c9b2f6a9000c0c6cddc511a67fa02382c0d102642efee8082f97c3d9ede
+size 877111994

rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0e79c0ff17aa43e6422eef4b367e54d52a1f9738b8eee1d318e550c354225528
+size 14244

scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1f9adc6d186a8011ec3ecad0cc19570f5525407a386adb90772dbb8f46014dae
+size 1064

sentence_bert_config.json

@@ -0,0 +1,4 @@
+{
+  "max_seq_length": 256,
+  "do_lower_case": false
+}

special_tokens_map.json

@@ -0,0 +1,107 @@
+{
+  "additional_special_tokens": [
+    "<extra_id_0>",
+    "<extra_id_1>",
+    "<extra_id_2>",
+    "<extra_id_3>",
+    "<extra_id_4>",
+    "<extra_id_5>",
+    "<extra_id_6>",
+    "<extra_id_7>",
+    "<extra_id_8>",
+    "<extra_id_9>",
+    "<extra_id_10>",
+    "<extra_id_11>",
+    "<extra_id_12>",
+    "<extra_id_13>",
+    "<extra_id_14>",
+    "<extra_id_15>",
+    "<extra_id_16>",
+    "<extra_id_17>",
+    "<extra_id_18>",
+    "<extra_id_19>",
+    "<extra_id_20>",
+    "<extra_id_21>",
+    "<extra_id_22>",
+    "<extra_id_23>",
+    "<extra_id_24>",
+    "<extra_id_25>",
+    "<extra_id_26>",
+    "<extra_id_27>",
+    "<extra_id_28>",
+    "<extra_id_29>",
+    "<extra_id_30>",
+    "<extra_id_31>",
+    "<extra_id_32>",
+    "<extra_id_33>",
+    "<extra_id_34>",
+    "<extra_id_35>",
+    "<extra_id_36>",
+    "<extra_id_37>",
+    "<extra_id_38>",
+    "<extra_id_39>",
+    "<extra_id_40>",
+    "<extra_id_41>",
+    "<extra_id_42>",
+    "<extra_id_43>",
+    "<extra_id_44>",
+    "<extra_id_45>",
+    "<extra_id_46>",
+    "<extra_id_47>",
+    "<extra_id_48>",
+    "<extra_id_49>",
+    "<extra_id_50>",
+    "<extra_id_51>",
+    "<extra_id_52>",
+    "<extra_id_53>",
+    "<extra_id_54>",
+    "<extra_id_55>",
+    "<extra_id_56>",
+    "<extra_id_57>",
+    "<extra_id_58>",
+    "<extra_id_59>",
+    "<extra_id_60>",
+    "<extra_id_61>",
+    "<extra_id_62>",
+    "<extra_id_63>",
+    "<extra_id_64>",
+    "<extra_id_65>",
+    "<extra_id_66>",
+    "<extra_id_67>",
+    "<extra_id_68>",
+    "<extra_id_69>",
+    "<extra_id_70>",
+    "<extra_id_71>",
+    "<extra_id_72>",
+    "<extra_id_73>",
+    "<extra_id_74>",
+    "<extra_id_75>",
+    "<extra_id_76>",
+    "<extra_id_77>",
+    "<extra_id_78>",
+    "<extra_id_79>",
+    "<extra_id_80>",
+    "<extra_id_81>",
+    "<extra_id_82>",
+    "<extra_id_83>",
+    "<extra_id_84>",
+    "<extra_id_85>",
+    "<extra_id_86>",
+    "<extra_id_87>",
+    "<extra_id_88>",
+    "<extra_id_89>",
+    "<extra_id_90>",
+    "<extra_id_91>",
+    "<extra_id_92>",
+    "<extra_id_93>",
+    "<extra_id_94>",
+    "<extra_id_95>",
+    "<extra_id_96>",
+    "<extra_id_97>",
+    "<extra_id_98>",
+    "<extra_id_99>"
+  ],
+  "eos_token": "</s>",
+  "pad_token": "<pad>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

@@ -0,0 +1,939 @@
+{
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32000": {
+      "content": "<extra_id_99>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32001": {
+      "content": "<extra_id_98>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32002": {
+      "content": "<extra_id_97>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32003": {
+      "content": "<extra_id_96>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32004": {
+      "content": "<extra_id_95>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32005": {
+      "content": "<extra_id_94>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32006": {
+      "content": "<extra_id_93>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32007": {
+      "content": "<extra_id_92>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32008": {
+      "content": "<extra_id_91>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32009": {
+      "content": "<extra_id_90>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32010": {
+      "content": "<extra_id_89>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32011": {
+      "content": "<extra_id_88>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32012": {
+      "content": "<extra_id_87>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32013": {
+      "content": "<extra_id_86>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32014": {
+      "content": "<extra_id_85>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32015": {
+      "content": "<extra_id_84>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32016": {
+      "content": "<extra_id_83>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32017": {
+      "content": "<extra_id_82>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32018": {
+      "content": "<extra_id_81>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32019": {
+      "content": "<extra_id_80>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32020": {
+      "content": "<extra_id_79>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32021": {
+      "content": "<extra_id_78>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32022": {
+      "content": "<extra_id_77>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32023": {
+      "content": "<extra_id_76>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32024": {
+      "content": "<extra_id_75>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32025": {
+      "content": "<extra_id_74>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32026": {
+      "content": "<extra_id_73>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32027": {
+      "content": "<extra_id_72>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32028": {
+      "content": "<extra_id_71>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32029": {
+      "content": "<extra_id_70>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32030": {
+      "content": "<extra_id_69>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32031": {
+      "content": "<extra_id_68>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32032": {
+      "content": "<extra_id_67>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32033": {
+      "content": "<extra_id_66>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32034": {
+      "content": "<extra_id_65>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32035": {
+      "content": "<extra_id_64>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32036": {
+      "content": "<extra_id_63>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32037": {
+      "content": "<extra_id_62>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32038": {
+      "content": "<extra_id_61>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32039": {
+      "content": "<extra_id_60>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32040": {
+      "content": "<extra_id_59>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32041": {
+      "content": "<extra_id_58>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32042": {
+      "content": "<extra_id_57>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32043": {
+      "content": "<extra_id_56>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32044": {
+      "content": "<extra_id_55>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32045": {
+      "content": "<extra_id_54>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32046": {
+      "content": "<extra_id_53>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32047": {
+      "content": "<extra_id_52>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32048": {
+      "content": "<extra_id_51>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32049": {
+      "content": "<extra_id_50>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32050": {
+      "content": "<extra_id_49>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32051": {
+      "content": "<extra_id_48>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32052": {
+      "content": "<extra_id_47>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32053": {
+      "content": "<extra_id_46>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32054": {
+      "content": "<extra_id_45>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32055": {
+      "content": "<extra_id_44>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32056": {
+      "content": "<extra_id_43>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32057": {
+      "content": "<extra_id_42>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32058": {
+      "content": "<extra_id_41>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32059": {
+      "content": "<extra_id_40>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32060": {
+      "content": "<extra_id_39>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32061": {
+      "content": "<extra_id_38>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32062": {
+      "content": "<extra_id_37>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32063": {
+      "content": "<extra_id_36>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32064": {
+      "content": "<extra_id_35>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32065": {
+      "content": "<extra_id_34>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32066": {
+      "content": "<extra_id_33>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32067": {
+      "content": "<extra_id_32>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32068": {
+      "content": "<extra_id_31>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32069": {
+      "content": "<extra_id_30>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32070": {
+      "content": "<extra_id_29>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32071": {
+      "content": "<extra_id_28>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32072": {
+      "content": "<extra_id_27>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32073": {
+      "content": "<extra_id_26>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32074": {
+      "content": "<extra_id_25>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32075": {
+      "content": "<extra_id_24>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32076": {
+      "content": "<extra_id_23>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32077": {
+      "content": "<extra_id_22>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32078": {
+      "content": "<extra_id_21>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32079": {
+      "content": "<extra_id_20>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32080": {
+      "content": "<extra_id_19>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32081": {
+      "content": "<extra_id_18>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32082": {
+      "content": "<extra_id_17>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32083": {
+      "content": "<extra_id_16>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32084": {
+      "content": "<extra_id_15>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32085": {
+      "content": "<extra_id_14>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32086": {
+      "content": "<extra_id_13>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32087": {
+      "content": "<extra_id_12>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32088": {
+      "content": "<extra_id_11>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32089": {
+      "content": "<extra_id_10>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32090": {
+      "content": "<extra_id_9>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32091": {
+      "content": "<extra_id_8>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32092": {
+      "content": "<extra_id_7>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32093": {
+      "content": "<extra_id_6>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32094": {
+      "content": "<extra_id_5>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32095": {
+      "content": "<extra_id_4>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32096": {
+      "content": "<extra_id_3>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32097": {
+      "content": "<extra_id_2>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32098": {
+      "content": "<extra_id_1>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32099": {
+      "content": "<extra_id_0>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<extra_id_0>",
+    "<extra_id_1>",
+    "<extra_id_2>",
+    "<extra_id_3>",
+    "<extra_id_4>",
+    "<extra_id_5>",
+    "<extra_id_6>",
+    "<extra_id_7>",
+    "<extra_id_8>",
+    "<extra_id_9>",
+    "<extra_id_10>",
+    "<extra_id_11>",
+    "<extra_id_12>",
+    "<extra_id_13>",
+    "<extra_id_14>",
+    "<extra_id_15>",
+    "<extra_id_16>",
+    "<extra_id_17>",
+    "<extra_id_18>",
+    "<extra_id_19>",
+    "<extra_id_20>",
+    "<extra_id_21>",
+    "<extra_id_22>",
+    "<extra_id_23>",
+    "<extra_id_24>",
+    "<extra_id_25>",
+    "<extra_id_26>",
+    "<extra_id_27>",
+    "<extra_id_28>",
+    "<extra_id_29>",
+    "<extra_id_30>",
+    "<extra_id_31>",
+    "<extra_id_32>",
+    "<extra_id_33>",
+    "<extra_id_34>",
+    "<extra_id_35>",
+    "<extra_id_36>",
+    "<extra_id_37>",
+    "<extra_id_38>",
+    "<extra_id_39>",
+    "<extra_id_40>",
+    "<extra_id_41>",
+    "<extra_id_42>",
+    "<extra_id_43>",
+    "<extra_id_44>",
+    "<extra_id_45>",
+    "<extra_id_46>",
+    "<extra_id_47>",
+    "<extra_id_48>",
+    "<extra_id_49>",
+    "<extra_id_50>",
+    "<extra_id_51>",
+    "<extra_id_52>",
+    "<extra_id_53>",
+    "<extra_id_54>",
+    "<extra_id_55>",
+    "<extra_id_56>",
+    "<extra_id_57>",
+    "<extra_id_58>",
+    "<extra_id_59>",
+    "<extra_id_60>",
+    "<extra_id_61>",
+    "<extra_id_62>",
+    "<extra_id_63>",
+    "<extra_id_64>",
+    "<extra_id_65>",
+    "<extra_id_66>",
+    "<extra_id_67>",
+    "<extra_id_68>",
+    "<extra_id_69>",
+    "<extra_id_70>",
+    "<extra_id_71>",
+    "<extra_id_72>",
+    "<extra_id_73>",
+    "<extra_id_74>",
+    "<extra_id_75>",
+    "<extra_id_76>",
+    "<extra_id_77>",
+    "<extra_id_78>",
+    "<extra_id_79>",
+    "<extra_id_80>",
+    "<extra_id_81>",
+    "<extra_id_82>",
+    "<extra_id_83>",
+    "<extra_id_84>",
+    "<extra_id_85>",
+    "<extra_id_86>",
+    "<extra_id_87>",
+    "<extra_id_88>",
+    "<extra_id_89>",
+    "<extra_id_90>",
+    "<extra_id_91>",
+    "<extra_id_92>",
+    "<extra_id_93>",
+    "<extra_id_94>",
+    "<extra_id_95>",
+    "<extra_id_96>",
+    "<extra_id_97>",
+    "<extra_id_98>",
+    "<extra_id_99>"
+  ],
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "extra_ids": 100,
+  "extra_special_tokens": {},
+  "model_max_length": 256,
+  "pad_token": "<pad>",
+  "tokenizer_class": "T5Tokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:14cfaf73aabb474196fb47556ca0c7502670f7c6ed619935cc83778cc98b07cb
+size 5560