End of training

README.md

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+---
+license: apache-2.0
+base_model: HachiML/Mists-7B-v01-not-trained
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: Mists-7B-v01-simple-projector-trained
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/siseikatu8/huggingface/runs/eazfub66)
+# Mists-7B-v01-simple-projector-trained
+
+This model is a fine-tuned version of [HachiML/Mists-7B-v01-not-trained](https://huggingface.co/HachiML/Mists-7B-v01-not-trained) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0152
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.002
+- train_batch_size: 32
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.3727        | 0.0444 | 100  | 0.0301          |
+| 0.0274        | 0.0888 | 200  | 0.0243          |
+| 0.0615        | 0.1332 | 300  | 0.0382          |
+| 0.0367        | 0.1776 | 400  | 0.0325          |
+| 0.0327        | 0.2220 | 500  | 0.0304          |
+| 0.0304        | 0.2664 | 600  | 0.0243          |
+| 0.0242        | 0.3108 | 700  | 0.0216          |
+| 0.0236        | 0.3552 | 800  | 0.0214          |
+| 0.0226        | 0.3996 | 900  | 0.0188          |
+| 0.0206        | 0.4440 | 1000 | 0.0181          |
+| 0.0197        | 0.4885 | 1100 | 0.0188          |
+| 0.0192        | 0.5329 | 1200 | 0.0175          |
+| 0.019         | 0.5773 | 1300 | 0.0171          |
+| 0.018         | 0.6217 | 1400 | 0.0166          |
+| 0.0173        | 0.6661 | 1500 | 0.0169          |
+| 0.017         | 0.7105 | 1600 | 0.0163          |
+| 0.0172        | 0.7549 | 1700 | 0.0164          |
+| 0.0186        | 0.7993 | 1800 | 0.0161          |
+| 0.0168        | 0.8437 | 1900 | 0.0167          |
+| 0.0161        | 0.8881 | 2000 | 0.0163          |
+| 0.0157        | 0.9325 | 2100 | 0.0156          |
+| 0.016         | 0.9769 | 2200 | 0.0152          |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

added_tokens.json

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+  "<time_series>": 32768
+}

config.json

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+{
+  "_name_or_path": "HachiML/Mists-7B-v01-not-trained",
+  "architectures": [
+    "MistsForConditionalGeneration"
+  ],
+  "auto_map": {
+    "AutoConfig": "HachiML/Mists-7B-v01-not-trained--configuration_mists.MistsConfig",
+    "AutoModel": "HachiML/Mists-7B-v01-not-trained--modeling_mists.MistsForConditionalGeneration"
+  },
+  "ignore_index": -100,
+  "model_type": "mists",
+  "pad_token_id": 32769,
+  "projector_hidden_act": "gelu",
+  "text_config": {
+    "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
+    "architectures": [
+      "MistralForCausalLM"
+    ],
+    "max_position_embeddings": 32768,
+    "model_type": "mistral",
+    "rms_norm_eps": 1e-05,
+    "rope_theta": 1000000.0,
+    "sliding_window": null,
+    "torch_dtype": "bfloat16",
+    "vocab_size": 32832
+  },
+  "time_series_config": {
+    "_name_or_path": "HachiML/MOMENT-1-large-embedding-v0.1",
+    "architectures": [
+      "MomentEmbeddingModel"
+    ],
+    "auto_map": {
+      "AutoConfig": "HachiML/MOMENT-1-large-embedding-v0.1--configuration_moment.MomentConfig",
+      "AutoModel": "HachiML/MOMENT-1-large-embedding-v0.1--modeling_moment.MomentEmbeddingModel"
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+    "mask_ratio": 0.0,
+    "model_type": "moment",
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+      "temperature": 1.0,
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+      "tie_encoder_decoder": false,
+      "tie_word_embeddings": false,
+      "tokenizer_class": null,
+      "top_k": 50,
+      "top_p": 1.0,
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+  "time_series_token_index": 32768,
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.3"
+}

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+  "pad_token_id": 32769,
+  "transformers_version": "4.42.3"
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