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README.md

@@ -0,0 +1,74 @@
+---
+base_model: RefalMachine/mistral_extended_darulm_20_05_24_part1-2_32000_bpe_mean_init_03_07_24
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: mistral_extended_darulm_20_05_24_part1-2_32000_bpe_part1_lr2e5_bs256
+  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. -->
+
+# mistral_extended_darulm_20_05_24_part1-2_32000_bpe_part1_lr2e5_bs256
+
+This model is a fine-tuned version of [RefalMachine/mistral_extended_darulm_20_05_24_part1-2_32000_bpe_mean_init_03_07_24](https://huggingface.co/RefalMachine/mistral_extended_darulm_20_05_24_part1-2_32000_bpe_mean_init_03_07_24) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2338
+- Accuracy: 0.5418
+
+## 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: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 32
+- total_train_batch_size: 128
+- total_eval_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 2.6021        | 0.09  | 2000  | 2.3285          | 0.5305   |
+| 2.5355        | 0.18  | 4000  | 2.2744          | 0.5365   |
+| 2.5063        | 0.27  | 6000  | 2.2538          | 0.5391   |
+| 2.4939        | 0.36  | 8000  | 2.2441          | 0.5402   |
+| 2.463         | 0.45  | 10000 | 2.2385          | 0.5410   |
+| 2.4559        | 0.54  | 12000 | 2.2359          | 0.5414   |
+| 2.5186        | 0.63  | 14000 | 2.2347          | 0.5415   |
+| 2.4755        | 0.73  | 16000 | 2.2340          | 0.5416   |
+| 2.4813        | 0.82  | 18000 | 2.2338          | 0.5417   |
+| 2.4797        | 0.91  | 20000 | 2.2338          | 0.5418   |
+| 2.4525        | 1.0   | 22000 | 2.2338          | 0.5418   |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.3.0a0+6ddf5cf85e.nv24.04
+- Datasets 2.18.0
+- Tokenizers 0.15.2

all_results.json

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+{
+    "epoch": 1.0,
+    "eval_accuracy": 0.541759001631102,
+    "eval_loss": 2.233785390853882,
+    "eval_runtime": 8.8105,
+    "eval_samples": 1367,
+    "eval_samples_per_second": 155.155,
+    "eval_steps_per_second": 1.249,
+    "perplexity": 9.335136421381748,
+    "train_loss": 2.52519507538886,
+    "train_runtime": 21683.5632,
+    "train_samples": 2824235,
+    "train_samples_per_second": 130.248,
+    "train_steps_per_second": 1.018
+}

checkpoint-10000/config.json

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+{
+  "_name_or_path": "RefalMachine/mistral_extended_darulm_20_05_24_part1-2_32000_bpe_mean_init_03_07_24",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.37.2",
+  "use_cache": true,
+  "vocab_size": 55329
+}

checkpoint-10000/generation_config.json

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+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.37.2"
+}

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