End of training

README.md

@@ -2,10 +2,13 @@
 license: apache-2.0
 library_name: peft
 tags:
+- alignment-handbook
 - trl
 - sft
 - generated_from_trainer
 base_model: mistralai/Mistral-7B-Instruct-v0.2
+datasets:
+- nthakur/miracl-raft-sft-instruct-v0.2
 model-index:
 - name: Mistral-7B-Instruct-v0.2-miracl-raft-sft-v2.0
   results: []
@@ -16,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Mistral-7B-Instruct-v0.2-miracl-raft-sft-v2.0
 
-This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the nthakur/miracl-raft-sft-instruct-v0.2 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.2086
 

all_results.json

@@ -1,5 +1,10 @@
 {
     "epoch": 0.9997531473710195,
+    "eval_loss": 1.208633542060852,
+    "eval_runtime": 2556.6853,
+    "eval_samples": 4000,
+    "eval_samples_per_second": 1.565,
+    "eval_steps_per_second": 0.131,
     "total_flos": 4526278881050624.0,
     "train_loss": 1.270192005722611,
     "train_runtime": 113933.3906,

config.json

@@ -0,0 +1,26 @@
+{
+  "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
+  "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": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.40.1",
+  "use_cache": true,
+  "vocab_size": 32000
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 0.9997531473710195,
+    "eval_loss": 1.208633542060852,
+    "eval_runtime": 2556.6853,
+    "eval_samples": 4000,
+    "eval_samples_per_second": 1.565,
+    "eval_steps_per_second": 0.131
+}