End of training

README.md

@@ -2,12 +2,16 @@
 license: other
 library_name: peft
 tags:
+- alignment-handbook
+- trl
+- sft
+- generated_from_trainer
 - trl
 - sft
 - generated_from_trainer
 base_model: google/gemma-7b
 datasets:
-- generator
+- satpalsr/hindi-sample
 model-index:
 - name: gemma-sft-qlora
   results: []
@@ -18,7 +22,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # gemma-sft-qlora
 
-This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the generator dataset.
+This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the satpalsr/hindi-sample dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.6385
 

all_results.json

@@ -1,5 +1,10 @@
 {
     "epoch": 3.96,
+    "eval_loss": 0.6385390162467957,
+    "eval_runtime": 16.4181,
+    "eval_samples": 1000,
+    "eval_samples_per_second": 17.359,
+    "eval_steps_per_second": 2.193,
     "train_loss": 1.1451922758938151,
     "train_runtime": 4455.6354,
     "train_samples": 19966,

config.json

@@ -0,0 +1,42 @@
+{
+  "_name_or_path": "google/gemma-7b",
+  "architectures": [
+    "GemmaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 2,
+  "eos_token_id": 1,
+  "head_dim": 256,
+  "hidden_act": "gelu",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 24576,
+  "max_position_embeddings": 8192,
+  "model_type": "gemma",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 16,
+  "pad_token_id": 0,
+  "quantization_config": {
+    "_load_in_4bit": true,
+    "_load_in_8bit": false,
+    "bnb_4bit_compute_dtype": "float16",
+    "bnb_4bit_quant_type": "nf4",
+    "bnb_4bit_use_double_quant": false,
+    "llm_int8_enable_fp32_cpu_offload": false,
+    "llm_int8_has_fp16_weight": false,
+    "llm_int8_skip_modules": null,
+    "llm_int8_threshold": 6.0,
+    "load_in_4bit": true,
+    "load_in_8bit": false,
+    "quant_method": "bitsandbytes"
+  },
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "torch_dtype": "float16",
+  "transformers_version": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 256000
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.96,
+    "eval_loss": 0.6385390162467957,
+    "eval_runtime": 16.4181,
+    "eval_samples": 1000,
+    "eval_samples_per_second": 17.359,
+    "eval_steps_per_second": 2.193
+}