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---
language:
- en
license: apache-2.0
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:8959
- loss:CoSENTLoss
base_model: prajjwal1/bert-tiny
widget:
- source_sentence: 'This card is treated as a Normal Monster while face-up on the
field or in the GY. While this card is face-up on the field, you can Normal Summon
it to have it become an Effect Monster with this effect. During your End Phase:
You can target 1 Equip Spell Card in your GY; add that target to your hand. You
can only use this effect of "Knight Day Grepher" once per turn.'
sentences:
- Cannot be Normal Summoned/Set. Must first be Special Summoned (from your hand)
while the total ATK of all monsters your opponent controls is more than that of
all monsters you control. You can target any number of Beast, Beast-Warrior, and/or
Winged Beast monsters you control; return them to the hand, then, return face-up
monsters your opponent controls to the hand, equal to the number of cards you
returned to the hand, also for the rest of this turn, "Alpha, the Master of Beasts"
you control cannot attack directly. You can only use this effect of "Alpha, the
Master of Beasts" once per turn.
- "(This card is always treated as an \"Infernoble Knight\" card.)\r\nYou can discard\
\ this card, then target 1 Warrior monster you control; equip it with 1 Equip\
\ Spell from your Deck that can equip to it. When this card, not equipped with\
\ an Equip Card, is destroyed by battle with an opponent's monster and sent to\
\ the GY: You can Special Summon this card, and if you do, equip that monster\
\ your opponent controls to this card. You can only use each effect of \"Courageous\
\ Crimson Chevalier Bradamante\" once per turn."
- 'If you have no cards in your GY (Quick Effect): You can send this card from your
hand to the GY; until the end of the next turn, any card sent to the GY is banished
instead.'
- source_sentence: '2 Cyberse monsters If this card is Link Summoned: You can add
1 "Cynet Fusion" from your Deck to your hand. If a monster(s) is Special Summoned
to a zone(s) this card points to (except during the Damage Step): You can target
1 Level 4 or lower Cyberse monster in your GY; Special Summon it, but negate its
effects, also you cannot Special Summon monsters from the Extra Deck for the rest
of this turn, except Fusion Monsters. You can only use each effect of "Clock Spartoi"
once per turn.'
sentences:
- This card cannot be Normal Summoned or Set. This card cannot be Special Summoned
except by its own effect. When a face-up monster you control is destroyed by a
card effect and sent to the GY, you can Special Summon this card from your hand.
This card gains ATK and DEF equal to half of your Life Points. Once per turn,
you can select 1 Synchro Monster your opponent controls and equip it to this card.
This card gains ATK equal to those equipped monsters' combined ATK. During your
Main Phase, you can select 1 of those equipped monsters, and Special Summon it
to your side of the field in face-up Defense Position.
- 'If this card is Special Summoned: You can discard 1 card, and if you do, send
1 "Fossil" Fusion Monster from your Extra Deck to the GY. You can send this card
you control to the GY; inflict 500 damage to your opponent, then, if "Fossil Fusion"
is in your GY, you can return 1 of your banished "Fossil Fusion", or 1 card that
specifically lists that card in its text, to the GY. You can only use each effect
of "Flint Cragger" once per turn.'
- 'If this card is sent from the Spell & Trap Zone to the GY: You can target 1 monster
on the field; destroy it. You cannot activate the following effects of "True Draco
Apocalypse" in the same Chain.
● You can target 1 other "True Draco" or "True King" card you control; destroy
it, and if you do, the ATK and DEF of all face-up monsters your opponent controls
become half their current ATK and DEF (even if this card leaves the field).
● During your opponent''s Main Phase, you can: Immediately after this effect resolves,
Tribute Summon 1 "True Draco" or "True King" monster face-up. You can only use
each effect of "True Draco Apocalypse" once per turn.'
- source_sentence: When this card is Normal Summoned, place 1 Spell counter on it
(max. 1). You can remove 1 Spell counter from this card to have 1 face-up monster
you control gain 500 ATK, until the End Phase.
sentences:
- Place 1 Ocean Counter on this card during each player's Standby Phases. When this
card is removed from the field, all Fish-Type and Sea Serpent-Type monsters you
control gain 200 ATK for each Ocean Counter on this card, until the End Phase.
- "Apply this effect, then you can discard 1 card, and if you do, Special Summon\
\ 1 Level 1 \"Purrely\" monster from your Deck. Once applied, the next battle\
\ or effect damage you take this turn becomes 0. A \"Purrely\" Xyz Monster that\
\ has this card as material gains this effect.\r\n● Once per turn, during your\
\ opponent's Standby Phase: You can draw 1 card."
- 'Choose 1 Fusion Monster you control that mentions "Fallen of Albaz" as material,
and negate the effects of all other face-up cards currently on the field until
the end of this turn. During the End Phase, if a Fusion Monster(s) was sent to
your GY this turn: You can add this card from the GY to your hand. You can only
use 1 "Brightest, Blazing, Branded King" effect per turn, and only once that turn.'
- source_sentence: 'When an attack is declared involving your face-up monster and
an opponent''s monster: You can Special Summon this card from your hand or GY,
but banish it when it leaves the field. You can only use this effect of "Vic Viper
T301" once per turn. Other Light Machine monsters you control gain 1200 ATK.'
sentences:
- "Banish 1 \"Springans\", \"Therion\" or \"Spright\" card from your hand or GY,\
\ then activate 1 of these effects;\r\n● Special Summon 1 \"Springans\" monster\
\ from your Deck.\r\n● Special Summon 1 \"Therion\" monster from your GY.\r\n\
● Banish 1 Level/Rank/Link 2 monster you control and 1 card your opponent controls.\r\
\nYou can only activate 1 \"Spright Smashers\" per turn."
- When this card is discarded from your hand to the GY, Special Summon it.
- 'When this card is activated: You can place 1 or 2 "Dinomist" Pendulum Monster(s)
from your Deck in your Pendulum Zone, but you cannot Pendulum Summon monsters
until the end of the next turn, except "Dinomist" monsters (even if this card
leaves the field). Once per turn, if this card is already face-up in your Spell
& Trap Zone: You can Tribute 1 "Dinomist" monster, then target 1 card your opponent
controls; return it to the hand.'
- source_sentence: 'You can target 1 face-up card you control; destroy it, and if
you do, Special Summon 1 "Zoodiac" monster from your Deck. You can only use this
effect of "Zoodiac Barrage" once per turn. If this card is destroyed by a card
effect and sent to the GY: You can target 1 "Zoodiac" Xyz Monster you control;
attach this card from your GY to that Xyz Monster as Xyz Material.'
sentences:
- Destroy as many Normal Monsters on the field as possible, and if you do, Special
Summon Level 4 or lower Dinosaur-Type monsters from your Deck, up to the number
destroyed, but destroy them during the End Phase. You can banish this card from
your GY, then target 1 Dinosaur-Type monster you control and 1 card your opponent
controls; destroy them.
- "2 monsters with different Types\r\nDuring the Main Phase (Quick Effect): You\
\ can Tribute this card and 1 Plant monster; Special Summon 1 \"Rose\" Synchro\
\ Monster or 1 Plant Synchro Monster from your Extra Deck. (This is treated as\
\ a Synchro Summon.) If a monster(s) you control is destroyed by card effect,\
\ while this card is in your GY (except during the Damage Step): You can banish\
\ this card; Special Summon 1 \"Rose Dragon\" monster from your GY. You can only\
\ use each effect of \"Crossrose Dragon\" once per turn."
- Target 1 "Raidraptor" monster you control; Special Summon 1 monster with the same
name as that monster on the field from your hand or Deck in Defense Position.
You can only activate 1 "Raidraptor - Call" per turn. You cannot Special Summon
monsters during the turn you activate this card, except "Raidraptor" monsters.
datasets:
- Tien09/pair_similarity_new_1231
pipeline_tag: sentence-similarity
library_name: sentence-transformers
---
# MPNet base trained on AllNLI triplets
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on the [pair_similarity_new_1231](https://huggingface.co/datasets/Tien09/pair_similarity_new_1231) dataset. It maps sentences & paragraphs to a 128-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:** [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) <!-- at revision 6f75de8b60a9f8a2fdf7b69cbd86d9e64bcb3837 -->
- **Maximum Sequence Length:** 512 tokens
- **Output Dimensionality:** 128 dimensions
- **Similarity Function:** Cosine Similarity
- **Training Dataset:**
- [pair_similarity_new_1231](https://huggingface.co/datasets/Tien09/pair_similarity_new_1231)
- **Language:** en
- **License:** apache-2.0
### 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': 512, 'do_lower_case': False}) with Transformer model: BertModel
(1): Pooling({'word_embedding_dimension': 128, '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})
)
```
## 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("Tien09/tiny_bert_ft_sim_score_1231")
# Run inference
sentences = [
'You can target 1 face-up card you control; destroy it, and if you do, Special Summon 1 "Zoodiac" monster from your Deck. You can only use this effect of "Zoodiac Barrage" once per turn. If this card is destroyed by a card effect and sent to the GY: You can target 1 "Zoodiac" Xyz Monster you control; attach this card from your GY to that Xyz Monster as Xyz Material.',
'Destroy as many Normal Monsters on the field as possible, and if you do, Special Summon Level 4 or lower Dinosaur-Type monsters from your Deck, up to the number destroyed, but destroy them during the End Phase. You can banish this card from your GY, then target 1 Dinosaur-Type monster you control and 1 card your opponent controls; destroy them.',
'Target 1 "Raidraptor" monster you control; Special Summon 1 monster with the same name as that monster on the field from your hand or Deck in Defense Position. You can only activate 1 "Raidraptor - Call" per turn. You cannot Special Summon monsters during the turn you activate this card, except "Raidraptor" monsters.',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 128]
# 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
#### pair_similarity_new_1231
* Dataset: [pair_similarity_new_1231](https://huggingface.co/datasets/Tien09/pair_similarity_new_1231) at [e141fec](https://huggingface.co/datasets/Tien09/pair_similarity_new_1231/tree/e141feca87dbfdbc13d02226af0eb73007e7179c)
* Size: 8,959 training samples
* Columns: <code>effect_text</code>, <code>score</code>, and <code>effect_text2</code>
* Approximate statistics based on the first 1000 samples:
| | effect_text | score | effect_text2 |
|:--------|:-----------------------------------------------------------------------------------|:---------------------------------------------------------------|:-----------------------------------------------------------------------------------|
| type | string | float | string |
| details | <ul><li>min: 9 tokens</li><li>mean: 73.57 tokens</li><li>max: 204 tokens</li></ul> | <ul><li>min: 0.0</li><li>mean: 0.41</li><li>max: 1.0</li></ul> | <ul><li>min: 4 tokens</li><li>mean: 73.18 tokens</li><li>max: 203 tokens</li></ul> |
* Samples:
| effect_text | score | effect_text2 |
|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| <code>When your opponent's monster attacks a face-up Level 4 or lower Toon Monster on your side of the field, you can make the attack a direct attack to your Life Points.</code> | <code>0.0</code> | <code>During either player's Main Phase: Special Summon this card as a Normal Monster (Reptile-Type/EARTH/Level 4/ATK 1600/DEF 1800). (This card is also still a Trap Card.)</code> |
| <code>When your opponent Special Summons a monster, you can discard 1 card to Special Summon this card from your hand. Your opponent cannot remove cards from play.</code> | <code>1.0</code> | <code>Activate this card by discarding 1 monster, then target 1 monster in your GY whose Level is lower than the discarded monster's original Level; Special Summon it and equip it with this card. The equipped monster has its effects negated. You can only activate 1 "Overdone Burial" per turn.</code> |
| <code>Mystical Elf" + "Curtain of the Dark Ones</code> | <code>0.0</code> | <code>This card is used to Ritual Summon "Legendary Flame Lord". You must also Tribute monsters whose total Levels equal 7 or more from the field or your hand.</code> |
* Loss: [<code>CoSENTLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cosentloss) with these parameters:
```json
{
"scale": 20.0,
"similarity_fct": "pairwise_cos_sim"
}
```
### Evaluation Dataset
#### pair_similarity_new_1231
* Dataset: [pair_similarity_new_1231](https://huggingface.co/datasets/Tien09/pair_similarity_new_1231) at [e141fec](https://huggingface.co/datasets/Tien09/pair_similarity_new_1231/tree/e141feca87dbfdbc13d02226af0eb73007e7179c)
* Size: 1,920 evaluation samples
* Columns: <code>effect_text</code>, <code>score</code>, and <code>effect_text2</code>
* Approximate statistics based on the first 1000 samples:
| | effect_text | score | effect_text2 |
|:--------|:-----------------------------------------------------------------------------------|:---------------------------------------------------------------|:-----------------------------------------------------------------------------------|
| type | string | float | string |
| details | <ul><li>min: 6 tokens</li><li>mean: 72.29 tokens</li><li>max: 190 tokens</li></ul> | <ul><li>min: 0.0</li><li>mean: 0.43</li><li>max: 1.0</li></ul> | <ul><li>min: 5 tokens</li><li>mean: 73.92 tokens</li><li>max: 206 tokens</li></ul> |
* Samples:
| effect_text | score | effect_text2 |
|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| <code>2+ Level 4 monsters<br>This Xyz Summoned card gains 500 ATK x the total Link Rating of Link Monsters linked to this card. You can detach 2 materials from this card, then target 1 4 Cyberse Link Monster in your GY; Special Summon it to your field so it points to this card, also you cannot Special Summon other monsters or attack directly for the rest of this turn.</code> | <code>1.0</code> | <code>3 Level 4 monsters Once per turn, you can also Xyz Summon "Zoodiac Tigermortar" by using 1 "Zoodiac" monster you control with a different name as Xyz Material. (If you used an Xyz Monster, any Xyz Materials attached to it also become Xyz Materials on this card.) This card gains ATK and DEF equal to the ATK and DEF of all "Zoodiac" monsters attached to it as Materials. Once per turn: You can detach 1 Xyz Material from this card, then target 1 Xyz Monster you control and 1 "Zoodiac" monster in your GY; attach that "Zoodiac" monster to that Xyz Monster as Xyz Material.</code> |
| <code>1 Tuner + 1 or more non-Tuner Pendulum Monsters Once per turn: You can target 1 Pendulum Monster on the field or 1 card in the Pendulum Zone; destroy it, and if you do, shuffle 1 card on the field into the Deck. Once per turn: You can Special Summon 1 "Dracoslayer" monster from your Deck in Defense Position, but it cannot be used as a Synchro Material for a Summon.</code> | <code>0.5</code> | <code>You can Ritual Summon this card with a "Recipe" card. If this card is Special Summoned: You can target 1 Spell/Trap on the field; destroy it. When a card or effect is activated that targets this card on the field, or when this card is targeted for an attack (Quick Effect): You can Tribute this card and 1 Attack Position monster on either field, and if you do, Special Summon 1 Level 3 or 4 "Nouvelles" Ritual Monster from your hand or Deck. You can only use each effect of "Confiras de Nouvelles" once per turn.</code> |
| <code>If you control an Illusion or Spellcaster monster: Add 1 "White Forest" monster from your Deck to your hand. If this card is sent to the GY to activate a monster effect: You can Set this card. You can only use each effect of "Tales of the White Forest" once per turn.</code> | <code>1.0</code> | <code>If you control no monsters, you can Special Summon this card (from your hand). You can only use each of the following effects of "Kashtira Fenrir" once per turn. During your Main Phase: You can add 1 "Kashtira" monster from your Deck to your hand. When this card declares an attack, or if your opponent activates a monster effect (except during the Damage Step): You can target 1 face-up card your opponent controls; banish it, face-down.</code> |
* Loss: [<code>CoSENTLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cosentloss) with these parameters:
```json
{
"scale": 20.0,
"similarity_fct": "pairwise_cos_sim"
}
```
### Training Hyperparameters
#### Non-Default Hyperparameters
- `eval_strategy`: steps
- `per_device_train_batch_size`: 16
- `per_device_eval_batch_size`: 16
- `learning_rate`: 1e-05
- `num_train_epochs`: 10
- `warmup_ratio`: 0.1
- `fp16`: True
- `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`: 16
- `per_device_eval_batch_size`: 16
- `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`: 10
- `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`: True
- `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
| Epoch | Step | Training Loss | Validation Loss |
|:------:|:----:|:-------------:|:---------------:|
| 0.1786 | 100 | 4.54 | 4.3773 |
| 0.3571 | 200 | 4.4771 | 4.3503 |
| 0.5357 | 300 | 4.4594 | 4.3149 |
| 0.7143 | 400 | 4.373 | 4.2905 |
| 0.8929 | 500 | 4.3383 | 4.2789 |
| 1.0714 | 600 | 4.3392 | 4.2705 |
| 1.25 | 700 | 4.3188 | 4.2627 |
| 1.4286 | 800 | 4.3372 | 4.2556 |
| 1.6071 | 900 | 4.3194 | 4.2487 |
| 1.7857 | 1000 | 4.2892 | 4.2420 |
| 1.9643 | 1100 | 4.2675 | 4.2375 |
| 2.1429 | 1200 | 4.3025 | 4.2312 |
| 2.3214 | 1300 | 4.2919 | 4.2246 |
| 2.5 | 1400 | 4.2853 | 4.2183 |
| 2.6786 | 1500 | 4.2463 | 4.2140 |
| 2.8571 | 1600 | 4.2486 | 4.2090 |
| 3.0357 | 1700 | 4.2376 | 4.2051 |
| 3.2143 | 1800 | 4.2365 | 4.1996 |
| 3.3929 | 1900 | 4.2223 | 4.1946 |
| 3.5714 | 2000 | 4.222 | 4.1900 |
| 3.75 | 2100 | 4.2057 | 4.1852 |
| 3.9286 | 2200 | 4.1935 | 4.1842 |
| 4.1071 | 2300 | 4.2001 | 4.1771 |
| 4.2857 | 2400 | 4.2012 | 4.1725 |
| 4.4643 | 2500 | 4.1961 | 4.1677 |
| 4.6429 | 2600 | 4.1919 | 4.1626 |
| 4.8214 | 2700 | 4.1542 | 4.1619 |
| 5.0 | 2800 | 4.1713 | 4.1594 |
| 5.1786 | 2900 | 4.1628 | 4.1530 |
| 5.3571 | 3000 | 4.1611 | 4.1504 |
| 5.5357 | 3100 | 4.1659 | 4.1480 |
| 5.7143 | 3200 | 4.131 | 4.1451 |
| 5.8929 | 3300 | 4.1191 | 4.1432 |
| 6.0714 | 3400 | 4.1521 | 4.1400 |
| 6.25 | 3500 | 4.1056 | 4.1374 |
| 6.4286 | 3600 | 4.1645 | 4.1340 |
| 6.6071 | 3700 | 4.1439 | 4.1305 |
| 6.7857 | 3800 | 4.0812 | 4.1298 |
| 6.9643 | 3900 | 4.0665 | 4.1323 |
| 7.1429 | 4000 | 4.1448 | 4.1261 |
| 7.3214 | 4100 | 4.1252 | 4.1236 |
| 7.5 | 4200 | 4.08 | 4.1234 |
| 7.6786 | 4300 | 4.0815 | 4.1188 |
| 7.8571 | 4400 | 4.085 | 4.1192 |
| 8.0357 | 4500 | 4.1015 | 4.1191 |
| 8.2143 | 4600 | 4.0912 | 4.1176 |
| 8.3929 | 4700 | 4.0822 | 4.1160 |
| 8.5714 | 4800 | 4.0744 | 4.1155 |
| 8.75 | 4900 | 4.1033 | 4.1135 |
| 8.9286 | 5000 | 4.0588 | 4.1135 |
| 9.1071 | 5100 | 4.0848 | 4.1125 |
| 9.2857 | 5200 | 4.0666 | 4.1125 |
| 9.4643 | 5300 | 4.0766 | 4.1125 |
| 9.6429 | 5400 | 4.0796 | 4.1116 |
| 9.8214 | 5500 | 4.0875 | 4.1117 |
| 10.0 | 5600 | 4.0929 | 4.1118 |
### Framework Versions
- Python: 3.10.12
- Sentence Transformers: 3.3.1
- Transformers: 4.47.1
- PyTorch: 2.5.1+cu121
- Accelerate: 1.2.1
- Datasets: 3.2.0
- 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",
}
```
#### CoSENTLoss
```bibtex
@online{kexuefm-8847,
title={CoSENT: A more efficient sentence vector scheme than Sentence-BERT},
author={Su Jianlin},
year={2022},
month={Jan},
url={https://kexue.fm/archives/8847},
}
```
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