diff --git a/.gitignore b/.gitignore index bcc458a0ca57508d2a9ea240de8f3e39bcfc720a..850042fb23dc15defcc180a9a5857950cf89c147 100644 --- a/.gitignore +++ b/.gitignore @@ -1 +1,3 @@ triplet_dataset.jsonl +val_triplets.jsonl +triplets.jsonl diff --git a/checkpoints/model/eval/triplet_evaluation_val-triplet-eval_results.csv b/checkpoints/model/eval/triplet_evaluation_val-triplet-eval_results.csv new file mode 100644 index 0000000000000000000000000000000000000000..44dee4a4e45326b2846d6e8b8f1aeee8301a10a6 --- /dev/null +++ b/checkpoints/model/eval/triplet_evaluation_val-triplet-eval_results.csv @@ -0,0 +1,3 @@ +epoch,steps,accuracy_cosine +0.5,10,0.006289307959377766 +1.0,20,0.006289307959377766 diff --git a/checkpoints/model_1/eval/triplet_evaluation_val-triplet-eval_results.csv b/checkpoints/model_1/eval/triplet_evaluation_val-triplet-eval_results.csv new file mode 100644 index 0000000000000000000000000000000000000000..44dee4a4e45326b2846d6e8b8f1aeee8301a10a6 --- /dev/null +++ b/checkpoints/model_1/eval/triplet_evaluation_val-triplet-eval_results.csv @@ -0,0 +1,3 @@ +epoch,steps,accuracy_cosine +0.5,10,0.006289307959377766 +1.0,20,0.006289307959377766 diff --git a/checkpoints/model_2/eval/triplet_evaluation_val-triplet-eval_results.csv b/checkpoints/model_2/eval/triplet_evaluation_val-triplet-eval_results.csv new file mode 100644 index 0000000000000000000000000000000000000000..f156fc862a2247287b9d6cfb6e20576fd96a1c2d --- /dev/null +++ b/checkpoints/model_2/eval/triplet_evaluation_val-triplet-eval_results.csv @@ -0,0 +1,2 @@ +epoch,steps,accuracy_cosine +0.625,10,0.0 diff --git a/checkpoints/model_3/eval/triplet_evaluation_val-triplet-eval_results.csv b/checkpoints/model_3/eval/triplet_evaluation_val-triplet-eval_results.csv new file mode 100644 index 0000000000000000000000000000000000000000..f156fc862a2247287b9d6cfb6e20576fd96a1c2d --- /dev/null +++ b/checkpoints/model_3/eval/triplet_evaluation_val-triplet-eval_results.csv @@ -0,0 +1,2 @@ +epoch,steps,accuracy_cosine +0.625,10,0.0 diff --git a/checkpoints/model_4/eval/triplet_evaluation_val-triplet_results.csv b/checkpoints/model_4/eval/triplet_evaluation_val-triplet_results.csv new file mode 100644 index 0000000000000000000000000000000000000000..f156fc862a2247287b9d6cfb6e20576fd96a1c2d --- /dev/null +++ b/checkpoints/model_4/eval/triplet_evaluation_val-triplet_results.csv @@ -0,0 +1,2 @@ +epoch,steps,accuracy_cosine +0.625,10,0.0 diff --git a/checkpoints/model_5/eval/triplet_evaluation_val-triplet_results.csv b/checkpoints/model_5/eval/triplet_evaluation_val-triplet_results.csv new file mode 100644 index 0000000000000000000000000000000000000000..f156fc862a2247287b9d6cfb6e20576fd96a1c2d --- /dev/null +++ b/checkpoints/model_5/eval/triplet_evaluation_val-triplet_results.csv @@ -0,0 +1,2 @@ +epoch,steps,accuracy_cosine +0.625,10,0.0 diff --git a/embedd.py b/embedd.py new file mode 100644 index 0000000000000000000000000000000000000000..9c92413d8da512c62dbef8c8addf3d02b67f8776 --- /dev/null +++ b/embedd.py @@ -0,0 +1,26 @@ +from sentence_transformers import SentenceTransformer, util + +def main(): + # Load the fine-tuned model + model = SentenceTransformer('fine_tuned_sbert_triplet') + + # Example sentences + sentences = [ + "A man is playing a guitar", + "A person is playing a guitar", + "A woman is reading a book" + ] + + # Compute embeddings + embeddings = model.encode(sentences, convert_to_tensor=True) + + # Compute cosine similarity between all pairs + cosine_sim = util.pytorch_cos_sim(embeddings, embeddings) + + # Display similarity matrix + print("Cosine Similarity Matrix:") + print(cosine_sim) + +if __name__ == "__main__": + main() + diff --git a/fine_tuned_sbert_triplet/README.md b/fine_tuned_sbert_triplet/README.md index ce20f93e53569cba844481754e137f155ae1451c..c49b4ba44f1137957ddd865e81ca1cc7f36198d3 100644 --- a/fine_tuned_sbert_triplet/README.md +++ b/fine_tuned_sbert_triplet/README.md @@ -5,9 +5,313 @@ tags: - feature-extraction - dense - generated_from_trainer -- dataset_size:5 -- loss:TripletLoss +- dataset_size:254 +- loss:WandbLoggingTripletLoss base_model: sentence-transformers/all-MiniLM-L6-v2 +widget: +- source_sentence: 70G type lvm mountpoints None name nvme4n1 size 2.9T type disk + mountpoints None name nvme4n1p1 size 2.9T type part mountpoints None name nvme3n1 + size 2.9T type disk mountpoints None name nvme0n1 size 2.9T type disk mountpoints + None name nvme2n1 size 2.9T type disk mountpoints None name nvme1n1 size 2.9T + type disk mountpoints None name nvme1n1p1 size 2.9T type part mountpoints None + name nvme0n1p1 size 1.1G type part mountpoints /boot/efi name nvme2n1p1 size 2.9T + type part mountpoints None name nvme0n1p2 size 2G type part mountpoints /boot + name nvme0n1p3 size 2.9T type part mountpoints None name nvme3n1p1 size 2.9T type + part mountpoints None StorageInfo None Network None PCI None Tunings None docker_list + None docker_details None Network NetworkAdapters PermanentMACAddress 1C:34:DA:62:D5:28 + P + sentences: + - "\nOkay, the user wants a sentence that's unrelated in topic and meaning\ + \ to the given document chunk. Let me first understand what the document is about.\n\ + \nLooking at the content, it seems to be technical, related to storage devices.\ + \ There are entries like NVMe drives, partitions, mount points, and some network\ + \ info. Terms like LVM, disk, partition, mountpoints, network adapters, MAC addresses\ + \ are mentioned. So the main topic is system hardware, specifically storage and\ + \ network configurations.\n\nNow, the task is to generate a sentence that's unrelated.\ + \ So I need to think of a completely different topic. Maybe something unrelated\ + \ to technology, like a general statement about everyday life, nature, or something\ + \ else. Let me think of a few possibilities. \n\nMaybe something like \"The sun\ + \ sets behind the mountains, casting a golden hue over the tranquil lake.\" That's\ + \ about nature and not related to the technical details. Or perhaps a sentence\ + \ about a different subject, like \"She loves reading classic literature in her\ + \ free time.\" That's about a person's hobby. \n\nWait, the user might want a\ + \ sentence that's not even related to the technical aspects. So maybe a sentence\ + \ from a completely different domain. Let me check if the example given by the\ + \ user is correct. The user provided an example response: \"The sun sets behind\ + \ the mountains, casting a golden hue over the tranquil lake.\" That's definitely\ + \ unrelated. \n\nI should make sure that the sentence doesn't have any technical\ + \ terms or references. So avoiding any mention of storage, networks, hardware,\ + \ etc. Maybe something about a different topic like cooking, sports, or daily\ + \ activities. \n\nAnother example could be \"He enjoys playing basketball in the\ + \ evenings with his friends.\" That's unrelated. Or \"The cat purred softly as\ + \ it curled up on the windowsill.\" \n\nI need to pick one that's not connected.\ + \ The key is to avoid any technical terms or references to the topics mentioned\ + \ in the original text. So the sentence should be about something entirely different,\ + \ like a natural phenomenon, a personal activity, or an event. \n\nI think the\ + \ example the user provided is good. Let me confirm that the generated sentence\ + \ doesn't have any connection. Yes, the original document is about storage and\ + \ network hardware, so a sentence about the sunset is unrelated. So the answer\ + \ should be something like that.\n\n\nThe cat purred softly as it curled\ + \ up on the windowsill, watching the last rays of sunlight dance across the carpet." + - What's the size of the partition named sda3? + - What's the size of the nvme4n1 partition? +- source_sentence: nology Gen4 LinkLanes None Name BOSS-S1 Adapter Status None ID + 196-0 Technology Gen3 LinkLanes None Name Express Flash PM1725b 3.2TB SFF Status + None ID 36-0 Technology Gen3 LinkLanes None Name Express Flash PM1725b 3.2TB SFF + Status None ID 35-0 Technology Gen3 LinkLanes None Name Express Flash PM1725b + 3.2TB SFF Status None ID 193-0 Technology Gen3 LinkLanes None Name Express Flash + PM1725b 3.2TB SFF Status None ID None Technology Gen4 LinkLanes None Name None + Status None ID None Technology Gen4 LinkLanes None Name None Status None ID None + Technology Gen3 LinkLanes None Name None Status None ID None Technology Gen3 LinkLanes + None Name None Status None ID None Technology Gen3 LinkLanes None Name None Status + None ID None Technology Gen3 LinkLanes None Name None Status None ID None Technology + G + sentences: + - ' + + Okay, the user wants me to generate a sentence that''s completely unrelated in + topic and meaning to the provided document chunk. Let me first understand what + the document is about. + + + Looking at the text, there are several lines with entries like "Technology Gen4 + LinkLanes None Name BOSS-S1 Adapter Status None ID 196-0" and similar entries + for other IDs. It seems like this is some kind of technical data or configuration + details, possibly related to hardware or storage devices. Terms like "Gen4", "LinkLanes", + "Express Flash PM1725b", and IDs like 196-0, 36-0, etc., suggest it''s about storage + controllers, adapters, or similar components in a server or data center environment. + + + Now, the task is to create a sentence that''s unrelated. So I need to think of + a topic that''s entirely different. Maybe something from daily life, nature, or + a completely different field. Let''s brainstorm. + + + Possible unrelated topics: cooking, sports, art, weather, travel, animals, etc. + Let''s pick something like cooking. For example, "She baked a chocolate cake for + her birthday party." + + + Wait, but I need to make sure it''s not even vaguely related. The original text + is about technical hardware, so anything not related to that. Maybe something + about a different subject entirely. How about a sentence about a book? "The author + wrote a mystery novel that was praised for its intricate plot." + + + Alternatively, maybe something about a different technology, but that might be + too close. Wait, the user wants it unrelated. Let me check again. The original + text is about hardware components, their status, IDs, etc. So a sentence about + a completely different topic. Maybe something like "The cat slept through the + entire movie." + + + But the user might prefer a more elaborate sentence. Let''s think of a sentence + that''s about a different field, like biology or physics. For example, "In the + experiment, the scientist observed a unique phenomenon in quantum mechanics." + + + Alternatively, a sentence about a different technology, but that''s still related. + Wait, the key is that the sentence should be unrelated in both topic and meaning. + So maybe something like "The bakery was famous for its delicious pastries and + fresh bread." + + + Alternatively, maybe something about a different kind of technology, but not related + to the hardware mentioned. Wait, the original text is about storage technologies, + so maybe a sentence about something else, like a different kind of technology. + But that''s still related. Hmm. + + + Wait, the user might not mind if it''s a different type of technology, as long + as it''s not the same topic. But the instruction says "unrelated in topic and + meaning". So maybe the sentence should be about something entirely different. + Let''s think of a sentence about a different subject. For example, "The painter + used vibrant colors to create a breathtaking landscape." + + + Alternatively, "The librarian organized the new books on the shelf with care." + + + Alternatively, "The chef prepared a gourmet meal for the dinner party." + + + I think that''s safe. The original text is about hardware, so a sentence about + a chef preparing a meal is unrelated. Let me confirm. Yes, that''s a different + topic and meaning. So that should work. + + + + + The librarian carefully arranged the newly arrived books on the shelf, ensuring + each title was properly categorized for easy access.' + - What is the status of the device with ID 196-0? + - What's the maximum speed supported by the memory module? +- source_sentence: eout 10000 IscsiDev1Con1Port 3260 IscsiDev1Con2VlanId 1 IscsiDev1Con2Retry + 3 IscsiDev1Con2Timeout 10000 IscsiDev1Con2Port 3260 AcPwrRcvryUserDelay 60 LogicalProc + Enabled ProcVirtualization Enabled IommuSupport Enabled KernelDmaProtection Disabled + L1StreamHwPrefetcher Enabled L2StreamHwPrefetcher Enabled L1StridePrefetcher Enabled + L1RegionPrefetcher Enabled L2UpDownPrefetcher Enabled MadtCoreEnumeration Linear + NumaNodesPerSocket 1 CcxAsNumaDomain Disabled Sme Disabled Snp Disabled Rmp Disabled + TransparentSme Disabled CpuFeatureErms Disabled CpuFeatureFsrm Disabled CpuFeatureRmss + Disabled ProcConfigTdp Maximum ProcX2Apic Enabled ProcCcds All CcdCores All ControlledTurbo + Disabled OptimizerMode Auto EmbSata AhciMode SecurityFreezeLock Enabled WriteCache + Disabled SataPortA Auto SataPortB Auto S + sentences: + - What is the port number for the second iSCSI connection? + - "\nOkay, the user wants a sentence that's unrelated in topic and meaning\ + \ to the given document chunk. Let me look at the content of the document chunk\ + \ first.\n\nThe text seems to be a series of technical configurations, probably\ + \ related to a server or hardware settings. Terms like IscsiDev1Con1Port, VLAN\ + \ IDs, retry and timeout settings, CPU features, NumaNodesPerSocket, SataPortA,\ + \ etc., all point towards system configuration parameters for something like a\ + \ server or storage device. There's mention of things like KernelDmaProtection,\ + \ L1StreamHwPrefetcher, CpuFeatureErms, and others. It's a technical spec sheet\ + \ or a configuration log.\n\nSo, the task is to generate a sentence that's not\ + \ related to any of these topics. The sentence should be about something entirely\ + \ different. Let me think of a topic that's unrelated. Maybe something like a\ + \ book, a movie, a random fact, or a completely different subject.\n\nFor example,\ + \ \"The Eiffel Tower was completed in 1889 and is one of the most recognizable\ + \ landmarks in Paris.\" That's about architecture and history, which is unrelated\ + \ to the technical server configurations. Alternatively, something about a different\ + \ field like biology, art, or a random event. \n\nI need to make sure that the\ + \ sentence doesn't touch on any of the technical aspects mentioned. Let me check\ + \ again: the original text is about network settings, CPU features, storage devices,\ + \ system configurations, etc. So a sentence about a completely different domain,\ + \ like a historical event, a scientific discovery, a sports event, or something\ + \ else.\n\nAnother example: \"The Great Wall of China is one of the most impressive\ + \ human engineering feats in history.\" That's about history and architecture,\ + \ which is unrelated. Or maybe something like \"Water is essential for human survival\ + \ and plays a key role in many natural processes.\" That's biology and chemistry,\ + \ which is also unrelated.\n\nAlternatively, maybe a sentence about a different\ + \ technology, like space exploration. \"The Mars rover Perseverance was launched\ + \ in 2020 to explore the Martian surface and search for signs of ancient life.\"\ + \ That's about space exploration, which is a different topic.\n\nI need to pick\ + \ one that's definitely unrelated. Let me pick the Eiffel Tower example. It's\ + \ a well-known landmark, not related to server configurations. Alternatively,\ + \ maybe a sentence about a different tech, like a smartphone feature. But that\ + \ might be too close if the original text is about hardware. Wait, the original\ + \ text includes things like SataPortA, which is related to storage, but the Eiffel\ + \ Tower is a different topic. So that's safe. \n\nAlternatively, maybe a sentence\ + \ about a different field, like \"The periodic table of elements was developed\ + \ by Dmitri Mendeleev in the 19th century.\" That's chemistry, which is unrelated.\ + \ \n\nBut the user might prefer something more general. Let me go with the Eiffel\ + \ Tower example. It's a good choice, as it's a well-known fact and not related\ + \ to the technical server configurations mentioned.\n\n\nThe Eiffel Tower,\ + \ completed in 1889, stands as a iconic symbol of France and one of the world's\ + \ most recognizable landmarks." + - What is the VLAN ID associated with the first PXE device? +- source_sentence: me0n1 Size 2900.0 G Name nvme2n1 Size 2900.0 G Name nvme1n1 Size + 2900.0 G Tunings VMInstances Count None ContainerInstances Count None Chassis + ID System.Embedded.1 Manufacturer Dell Inc. Model PowerEdge R6525 PowerState On + Health Critical Systems ID System.Embedded.1 Manufacturer Dell Inc. PowerState + On Model AMD EPYC 7663 56-Core Processor Count 2 SKU C9X7T13 SystemType Physical + BIOS BIOSVersion 2.7.3 FirmwareVersion None Attributes SystemModelName PowerEdge + R6525 SystemBiosVersion 2.7.3 SystemServiceTag C9X7T13 SystemManufacturer Dell + Inc. SysMfrContactInfo www.dell.com SystemCpldVersion 1.0.0 UefiComplianceVersion + 2.7 AgesaVersion MilanPI-SP3 1.0.0.8 SmuVersion 0.45.87.0 DxioVersion 45.682 ProcCoreSpeed + 2.00 GHz ProcBusSpeed 16 GT/s Proc1Id 19-1-1 Proc1Brand AMD EPYC 7663 56-Core + Proces + sentences: + - What is the size of the nvme2n1 storage device? + - What's the capacity of the memory module connected to socket A10? + - ' + + Okay, the user wants me to generate a sentence that''s unrelated in both topic + and meaning to the provided document chunk. Let me first understand what the document + is about. + + + Looking at the text, it seems to be system information, probably from a server + or a machine. There''s mention of hardware details like storage sizes (nvme2n1, + nvme1n1), chassis ID, manufacturer Dell Inc., model PowerEdge R6525, processor + details, BIOS versions, and other system attributes. It''s technical, related + to server hardware specs. + + + So the task is to create a sentence that''s not related. The user probably wants + something entirely different, not involving technology or servers. Maybe something + from a different domain, like everyday life, nature, or another field. + + + I need to make sure the sentence doesn''t mention anything related to servers, + hardware, or IT. Let me think of a random topic. Maybe something about cooking, + sports, or a general statement. For example, "The sun sets beautifully over the + horizon, casting a golden hue across the sky." That''s unrelated. Alternatively, + "She enjoys reading novels in her free time." But maybe the user wants something + more specific. Wait, the example given in the initial prompt was a sentence about + a cat, which is completely unrelated. So maybe a simple, everyday sentence that''s + not technical. + + + I should check if the generated sentence is indeed unrelated. The original text + is all about server hardware, so any sentence that''s not related to that. Maybe + something like "The cat slept through the entire movie." That''s a common example, + but maybe the user wants something more creative. Alternatively, "I love the sound + of rain on the windowsill." That''s a good one. It''s simple, not technical, and + unrelated to the server info. Let me make sure there''s no hidden connection. + The original text mentions "Dell Inc." but the sentence doesn''t reference that. + So yes, it''s unrelated. I think that''s a safe choice. + + + + + "The cat slept through the entire movie, undisturbed by the hum of the refrigerator."' +- source_sentence: logyCapable Yes VirtualizationTechnologyEnabled Yes CurrentClockSpeedMhz + 2000 InstructionSet x86-64 Manufacturer AMD MaxSpeedMHz 3900 Model AMD EPYC 7663 + 56-Core Processor ProcessorArchitecture x86 TotalCores 56 TotalThreads 112 Socket + CPU.Socket.2 Characteristics CPUFamily AMDZenProcessorFamily HyperThreadingCapable + Yes HyperThreadingEnabled Yes Id CPU.Socket.2 TurboModeCapable Yes TurboModeEnabled + Yes VirtualizationTechnologyCapable Yes VirtualizationTechnologyEnabled Yes CurrentClockSpeedMhz + 2000 Memory Members ID DIMM.Socket.A2 RankCount 2 Status Health OK State Enabled + Capacity 65536 AllowedSpeedMHz 3200 OperatingSpeedMhz 2933 MemoryModuleType None + Manufacturer Hynix Semiconductor ID DIMM.Socket.A9 RankCount 2 Status Health OK + State Enabled Capacity 65536 AllowedSpeedMHz 3200 Operatin + sentences: + - What's the maximum speed this processor can handle? + - "\nOkay, the user wants me to generate a sentence that's unrelated in both\ + \ topic and meaning to the given document chunk. Let me first understand what\ + \ the document is about. \n\nLooking at the data, it seems to be technical information\ + \ about a CPU and memory. There are details like the processor model (AMD EPYC\ + \ 7663), core counts, clock speeds, virtualization capabilities, memory modules\ + \ with manufacturers like Hynix, and various technical specs. So the topic is\ + \ hardware specifications, specifically for a server or high-performance computing\ + \ system.\n\nNow, the task is to create a sentence that's completely unrelated.\ + \ That means I need to think of a different subject. Maybe something everyday,\ + \ like a hobby, a personal activity, or something from a different field. Let\ + \ me brainstorm.\n\nPossible unrelated topics: cooking, sports, travel, literature,\ + \ technology but not the same as the given data. Wait, but the user said \"unrelated\ + \ in topic and meaning,\" so even if it's technology, but not the same as the\ + \ given data. But maybe even better to pick something entirely different. For\ + \ example, a sentence about a book, a movie, a personal experience, or something\ + \ like that.\n\nLet me check the example response the assistant gave earlier.\ + \ The example was about a book, \"The Great Gatsby,\" so maybe that's a safe choice.\ + \ But I need to make sure that the sentence is not related. So, something like\ + \ \"I enjoy reading classic literature, such as 'The Great Gatsby' by F. Scott\ + \ Fitzgerald.\" That's unrelated to the technical specs provided.\n\nAlternatively,\ + \ maybe a sentence about a different topic, like sports: \"My favorite sport is\ + \ basketball, which I play every weekend with my friends.\" But I need to make\ + \ sure that it's not related. The original data is about hardware, so anything\ + \ not related to hardware, computing, or similar tech specs.\n\nAnother example:\ + \ \"I love hiking in the mountains during the spring season.\" That's unrelated.\n\ + \nBut the user might want a sentence that's not just about a different topic but\ + \ also not related in meaning. So maybe something that's a complete non-sequitur.\ + \ For example, \"The cat slept through the entire movie.\" But that's a bit random.\ + \ However, the user might prefer something more coherent. Maybe a sentence about\ + \ a different subject, like a personal experience, a random fact, etc.\n\nSo,\ + \ to ensure it's unrelated, I need to pick a sentence that's about something entirely\ + \ different. Let me think of a sentence about a book, a person, or an event. For\ + \ example: \"She won the Nobel Prize in Literature for her poetic works.\" That's\ + \ unrelated to the technical specs given.\n\nAlternatively, \"The weather was\ + \ perfect for the picnic we had yesterday.\" That's about weather, which is unrelated.\n\ + \nI should check if any of these examples might have any indirect relation. For\ + \ instance, if the original data mentions \"Memory\" and \"Processor,\" maybe\ + \ something about memory in a different context, but I think that's still unrelated.\ + \ The key is that the sentence should not be about hardware specs, CPUs, memory,\ + \ or related topics.\n\nSo, the final answer would be a sentence that's about\ + \ a different subject, like a book, a personal activity, a random event, etc.\n\ + \n\nThe cat curled up on the windowsill, watching the sunset paint the\ + \ sky in hues of orange and pink." + - What's the server model for this system? pipeline_tag: sentence-similarity library_name: sentence-transformers metrics: @@ -16,14 +320,14 @@ model-index: - name: SentenceTransformer based on sentence-transformers/all-MiniLM-L6-v2 results: - task: - type: triplet - name: Triplet + type: rich-loss + name: Rich Loss dataset: - name: val triplet eval - type: val-triplet-eval + name: val triplet + type: val-triplet metrics: - type: cosine_accuracy - value: 1.0 + value: 0.0 name: Cosine Accuracy --- @@ -77,9 +381,9 @@ from sentence_transformers import SentenceTransformer model = SentenceTransformer("sentence_transformers_model_id") # Run inference sentences = [ - 'The weather is lovely today.', - "It's so sunny outside!", - 'He drove to the stadium.', + 'logyCapable Yes VirtualizationTechnologyEnabled Yes CurrentClockSpeedMhz 2000 InstructionSet x86-64 Manufacturer AMD MaxSpeedMHz 3900 Model AMD EPYC 7663 56-Core Processor ProcessorArchitecture x86 TotalCores 56 TotalThreads 112 Socket CPU.Socket.2 Characteristics CPUFamily AMDZenProcessorFamily HyperThreadingCapable Yes HyperThreadingEnabled Yes Id CPU.Socket.2 TurboModeCapable Yes TurboModeEnabled Yes VirtualizationTechnologyCapable Yes VirtualizationTechnologyEnabled Yes CurrentClockSpeedMhz 2000 Memory Members ID DIMM.Socket.A2 RankCount 2 Status Health OK State Enabled Capacity 65536 AllowedSpeedMHz 3200 OperatingSpeedMhz 2933 MemoryModuleType None Manufacturer Hynix Semiconductor ID DIMM.Socket.A9 RankCount 2 Status Health OK State Enabled Capacity 65536 AllowedSpeedMHz 3200 Operatin', + "What's the maximum speed this processor can handle?", + '\nOkay, the user wants me to generate a sentence that\'s unrelated in both topic and meaning to the given document chunk. Let me first understand what the document is about. \n\nLooking at the data, it seems to be technical information about a CPU and memory. There are details like the processor model (AMD EPYC 7663), core counts, clock speeds, virtualization capabilities, memory modules with manufacturers like Hynix, and various technical specs. So the topic is hardware specifications, specifically for a server or high-performance computing system.\n\nNow, the task is to create a sentence that\'s completely unrelated. That means I need to think of a different subject. Maybe something everyday, like a hobby, a personal activity, or something from a different field. Let me brainstorm.\n\nPossible unrelated topics: cooking, sports, travel, literature, technology but not the same as the given data. Wait, but the user said "unrelated in topic and meaning," so even if it\'s technology, but not the same as the given data. But maybe even better to pick something entirely different. For example, a sentence about a book, a movie, a personal experience, or something like that.\n\nLet me check the example response the assistant gave earlier. The example was about a book, "The Great Gatsby," so maybe that\'s a safe choice. But I need to make sure that the sentence is not related. So, something like "I enjoy reading classic literature, such as \'The Great Gatsby\' by F. Scott Fitzgerald." That\'s unrelated to the technical specs provided.\n\nAlternatively, maybe a sentence about a different topic, like sports: "My favorite sport is basketball, which I play every weekend with my friends." But I need to make sure that it\'s not related. The original data is about hardware, so anything not related to hardware, computing, or similar tech specs.\n\nAnother example: "I love hiking in the mountains during the spring season." That\'s unrelated.\n\nBut the user might want a sentence that\'s not just about a different topic but also not related in meaning. So maybe something that\'s a complete non-sequitur. For example, "The cat slept through the entire movie." But that\'s a bit random. However, the user might prefer something more coherent. Maybe a sentence about a different subject, like a personal experience, a random fact, etc.\n\nSo, to ensure it\'s unrelated, I need to pick a sentence that\'s about something entirely different. Let me think of a sentence about a book, a person, or an event. For example: "She won the Nobel Prize in Literature for her poetic works." That\'s unrelated to the technical specs given.\n\nAlternatively, "The weather was perfect for the picnic we had yesterday." That\'s about weather, which is unrelated.\n\nI should check if any of these examples might have any indirect relation. For instance, if the original data mentions "Memory" and "Processor," maybe something about memory in a different context, but I think that\'s still unrelated. The key is that the sentence should not be about hardware specs, CPUs, memory, or related topics.\n\nSo, the final answer would be a sentence that\'s about a different subject, like a book, a personal activity, a random event, etc.\n\n\nThe cat curled up on the windowsill, watching the sunset paint the sky in hues of orange and pink.', ] embeddings = model.encode(sentences) print(embeddings.shape) @@ -88,9 +392,9 @@ print(embeddings.shape) # Get the similarity scores for the embeddings similarities = model.similarity(embeddings, embeddings) print(similarities) -# tensor([[1.0000, 0.6660, 0.1046], -# [0.6660, 1.0000, 0.1411], -# [0.1046, 0.1411, 1.0000]]) +# tensor([[ 1.0000, -0.0038, 0.7700], +# [-0.0038, 1.0000, 0.1311], +# [ 0.7700, 0.1311, 1.0000]]) ```